[3] O. Kyrgyzov, Non-redundant Tensor Decomposition, PhD Dissertation, Northeastern University, Boston, MA, Aug 2010. (advisor: D. Erdogmus)
[2] Y. Huang, Event-related Potentials in Electroencephalography: Characteristics and Single-trial Detection for Rapid Object Search, Oregon Health and Science University, Portland, OR, Jun 2010. (Co-advisors: D. Erdogmus, M. Pavel)
[1] U. Ozertem, Locally Defined Principal Curves and Surfaces, PhD Dissertation, Oregon Health and Science University, Portland, OR, Aug 2008. (advisor: D. Erdogmus)
[1] D. Erdogmus, Information Theoretic Learning: Renyi’s Entropy and its Applications to Adaptive System Training, PhD Dissertation, University of Florida, Gainesville, Florida, May 2002. (advisor: J.C. Principe)
MS
Theses
[1] D. Erdogmus, Optimal Trajectory Tracking Guidance of an Aircraft with Final Velocity Constraint, MS Thesis, Middle East Technical University, Ankara, Turkey, May 1999. (advisor: K. Leblebicioglu)
Books
[2] J.C. Principe, Information Theoretic Learning: Renyi’s Entropy and Kernel Perspectives, Wiley, 2010. (Book written by Principe in collaboration with many coauthors. D. Erdogmus is coauthor of Ch. 2-6, 8, & Appendix)
[1] J. Rosca, D. Erdogmus, J.C. Principe, S. Haykin (eds.), Independent Component Analysis and Blind Signal Separation: Proceedings of ICA 2006, LNCS 3889, Springer, Berlin, Germany, 2006.
Book Chapters
[6]
Y.
Huang,
D.
Erdogmus,
K.E.
Hild
II,
M. Pavel, S. Mathan,
“Mixed
Effects
Models
for Single-Trial ERP Detection in Noninvasive
Brain
Computer Interface Design”, in Recent
Progress in Biomedical Signal Processing (eds. J. Ramirez,
J.M.
Gorriz, E.
Lang), Bentham Scientific Publishers, to appear in 2011.
[5] D. Erdogmus, J.C. Principe, “Information Theoretic Learning”, in Encyclopedia of Artificial Intelligence (eds. J.R.R. Dopico, J. Dorado, A. Pazos), IGI Global, July 2008.
[4] D. Erdogmus, U. Ozertem, T. Lan, “Information Theoretic Feature Selection and Projection”, (Chapter 1, pp. 1-22) in Speech, Audio, Image and Biomedical Signal Processing Using Neural Networks (eds. B. Prasad and S.R.M. Prasanna), Springer, 2008.
[3] D. Erdogmus, J. Cho, J. Lan, M. Motter, J.C. Principe, “Adaptive Local Linear Modeling and Control of Nonlinear Dynamical Systems”, (Chapter 4, pp. 119-152) in Intelligent Control Systems Using Computational Intelligence Techniques, A. Ruano (ed.), IEE Publishing, UK, Apr 2004.
[2] D. Erdogmus, J.C. Principe, R. Thogulua, “Information Theoretic Organization Principles for Autonomous Multiple-Agents”, (pp. 125-143) Recent Developments in Cooperative Control and Optimization, S. Butenko, R. Murphey, P. Pardalos (eds.), Kluwer Academic Publishers, New York, Nov 2003.
[1] J.C. Principe, Y.N. Rao, D. Erdogmus, “Error Whitening Wiener Filters: Theory and Algorithms”, (Chapter 10) in Least-Mean-Square Adaptive Filters, S. Haykin, B. Widrow (eds.), Wiley, New York, Sep 2003.
Peer-Reviewed
Journals
[x]
E. Bas, D. Erdogmus, “Connectivity
of
Projected
High
Dimensional Data Charts on One Dimensional Curves”,
Signal
Processing, accepted in Mar 2011.
[x]
H. Nezamfar, U. Orhan, S. Purwar, K.E.
Hild, B. Oken, D. Erdogmus, “Decoding
of
Multichannel
EEG Activity from
the
Visual Cortex in Response to Pseudorandom Binary Sequences of
Visual
Stimuli”,
submitted to the International
Journal
of Imaging Systems and Technology (Special Issue on Brain
Interfaces),
accepted in Feb 2011.
[x]
E. Bas, D. Erdogmus, “Principal
Curves
as
Skeletons
of Tubular Objects: Locally Characterizing the Structures of
Axons”,
Neuroinformatics, accepted in Dec 2010. (Invited to Special
Issue on
DIADEM
Challenge)
[73] Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, K.E. Hild II, “A Framework for Rapid Visual Image Search using Single-trial Brain Evoked Responses”, Neurocomputing, vol. 74, pp. 2041-2051, May 2011.
[71]
U. Ozertem, D. Erdogmus,
“Locally
Defined
Principal
Curves
and
Surfaces”, Journal of Machine Learning
Research, vol. 12, pp. 1249-1286, Apr 2011.
(http://www.jmlr.org/papers/volume12/ozertem11a/ozertem11a.pdf)
code
[70] J. Zupanc, D. Drobne, D. Erdogmus, E. Bas, J. Valant, A. Dobnikar, “Biological Reactivity of Nanoparticles: Mosaics from Optical Microscopy Videos of Giant Lipid Vesicles”, Journal of Biomedical Optics, vol. 16. No. 2, Feb 2011. (http://dx.doi.org/10.1117/1.3533319)
[69] O. Kyrgyzov, D. Erdogmus, “Numerical Optimization of a Sum-of-Rank-1 Decomposition for n-Dimensional Order-p Symmetric Tensors”, Neurocomputing, vol. 73, no. 16-18, pp. 3323-3327, Oct 2010.
[68] J. Szumowski, E. Bas, K. Gaarder, E. Schwarz, D. Erdogmus, S. Hayflick, “Measurement of Brain Iron Distribution in Hallevorden-Spatz Syndrome”, Journal of Magnetic Resonance Imaging, vol. 31, no. 2, pp. 482-489, Feb 2010.
[67] U.
Ozertem,
D.
Erdogmus,
“RKHS
Bayes
Discriminant: A Subspace Constrained
Nonlinear Feature Projection for Signal Detection”, IEEE
Transactions
on Neural
Networks, vol. 20, no. 7, pp. 1195-1203, Jul 2009.
[66] U.
Ozertem,
D.
Erdogmus,
“Principal
Curve
Time
Warping”, IEEE Transactions on
Signal Processing, vol. 57, no. 6, pp. 2041-2049, Jun 2009.
[65] J.M.
Gorriz,
J.
Ramirez,
S.
Cruces-Alvarez,
C.G.
Puntonet,
E.W. Lang, D. Erdogmus,
“A
Novel
LMS
Algorithm
Applied
to
Adaptive Noise Cancellation”, IEEE
Signal
Processing Letters, vol. 16, no. 1, pp. 34-37, Jan 2009.
[64] U.
Ozertem,
D.
Erdogmus,
“Second-Order
Volterra
System
Identification
with
Noisy
Input-Output
Measurements”, IEEE Signal Processing Letters, vol.
16,
no. 1, pp.
18-21, Jan 2009.
[63] J.M.
Gorriz,
J.
Ramirez,
S.
Cruces-Alvarez,
D.
Erdogmus,
C.G. Puntonet, E.W. Lang,
“Speech
Enhancement
in Discontinuous Transmission Systems using the
Constrained-Stability Least-Mean Squares Algorithm”,
Journal of the
Acoustical
Society of America, vol. 124, no. 6, pp. 2669-3683, Dec 2008.
[62] U.
Ozertem,
I.
Uysal,
D.
Erdogmus,
“Continuously
Differentiable
Sample-Spacing
Entropy
Estimation”, IEEE Transactions on Neural Networks, vol.
19,
no.
11, pp.
1978-1984, Nov 2008.
[61] M.R.
Lightner,
D.
Erdogmus,
“Signal
Processing
Challenges
in
Cognitive
Assistive
Technology”, IEEE Signal Processing Magazine, vol. 25, no.
5, pp.
103-108, Sep 2008.
[60] P.P. Pokharel, U. Ozertem, D. Erdogmus, J.C. Principe, “Recursive Complex BSS via Generalized Eigendecomposition and Application in Image Rejection for BPSK Source Signal Processing”, Signal Processing, vol. 88, no. 6, pp. 1368-1381, Jun 2008.
[59] U. Ozertem, D. Erdogmus, R. Jenssen, “Mean Shift Spectral Clustering”, Pattern Recognition, vol. 41, no. 6, pp. 1924-1938, Jun 2008.
[58] M.C. Dorneich, S.D. Whitlow, S. Mathan, P.M. Ververs, D. Erdogmus, A. Adami, M. Pavel, T. Lan, “Supporting Real-time Cognitive State Classification on a Mobile Individual”, Journal of Cognitive Engineering and Decision Making, vol. 1, no. 3, pp. 240-270, Fall 2007. (Special Issue on Augmented Cognition: Past, Present, and Future)
[57] A. Hegde, D. Erdogmus, D.S. Shiau, J.C. Principe, C.J. Sackellares, “Clustering Approach to Quantify Long Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalograph”, Computational Intelligence and Neuroscience, vol. 2007, Article ID 83416, 18 pages, Nov 2007. (Special Issue on EEG/MEG Signal Processing)
[56] U. Ozertem, D. Erdogmus, “Information Regularized Decision Fusion for Localization with Binary Sensor Networks”, Journal of VLSI Signal Processing Systems, vol. 49, no. 2, Nov 2007. (Special Issue on Data Fusion)
[55] S. Han, S. Rao, D. Erdogmus, K.H. Jeong, J.C. Principe, “A Minimum Error Entropy Criterion with Self Adjusting Stepsize”, Signal Processing, vol. 87, no. 11, pp. 2733-2745, Nov 2007.
[54] T. Lan, D. Erdogmus, A. Adami, S. Mathan, M. Pavel, “Feature and Channel Selection for Cognitive State Estimation Using Ambulatory EEG”, Computational Intelligence and Neuroscience, vol. 2007, Article ID 74895, 12 pages, Sep 2007. (Special Issue on Brain Computer Interfaces)
[53] U. Ozertem, D. Erdogmus, “Nonparametric Snakes”, IEEE Transactions on Image Processing, vol. 16, no. 9, pp. 2361-2368, Sep 2007.
[52] T. Lan, D. Erdogmus, “Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis”, Journal of VLSI Signal Processing Systems, vol. 48, no. 1-2, pp. 39-52, Aug 2007. (Invited extension of paper from MLSP 2005)
[51] R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian Classifier”, IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3262-3271, Jul 2007.
[50] S.C. Kazmierczak, T.K. Leen, D. Erdogmus, M.A. Carreira-Perpinan, “Reduction of Multi-dimensional Laboratory Data to a Two-dimensional Plot: A Novel Technique for the Identification of Laboratory Error”, Clinical Chemistry and Laboratory Medicine, vol. 45, no. 6, pp. 749-752, Jun 2007.
[49] R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Information Cut for Clustering Using a Gradient Descent Approach”, Pattern Recognition, vol. 40, no. 3, pp. 796-806, Mar 2007.
[48] J. Zhao, D. Wu, D. Erdogmus, Y. Fang, Z. He, “Adaptive Motion Estimation Schemes Using Maximum Mutual Information Criterion”, Journal of Wireless Communications and Mobile Computing, vol. 7, no. 2, pp. 205-215, Feb 2007. (Special Issue on Video Communications for 4G Wireless Systems)
[47] J. Cho, J.C. Principe, D. Erdogmus, M.A. Motter, “Quasi Sliding Mode Control Strategy Based on Multiple Linear Models”, Neurocomputing, vol. 70, no. 4-6, pp. 960-974, Jan 2007.
[46] R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Some Equivalences Between Kernel Methods and Information Theoretic Methods”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 49-65, Nov 2006. (Invited paper for MLSP’04 special issue)
[45] A. Hegde, D. Erdogmus, Y.N. Rao, H. Peddaneni, U. Ozertem, J.C. Principe, “Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 85-95, Nov 2006. (Invited paper for MLSP’04 special issue)
[44] D. Erdogmus, R. Jenssen, Y.N. Rao, J.C. Principe, “Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 67-83, Nov 2006. (Invited paper for MLSP’04 special issue)
[43] D. Erdogmus, J.C. Principe, “From Linear Adaptive Filtering to Nonlinear Information Processing”, IEEE Signal Processing Magazine, vol. 23, no. 6, pp. 14-33, Nov 2006.
[42] R. Jenssen, J.C. Principe, D. Erdogmus, T. Eltoft, “Cauchy-Schwarz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels”, Journal of Franklin Institute, vol. 343, no. 6, pp. 614-629, Sep 2006. (Invited extension of Best Student Paper from ICASSP 2005)
[41] C.D. Fuller, C.R. Thomas, S. Schwartz, N. Golden, J. Ting, A. Wong, D. Erdogmus, T.J. Scarbrough, “Method Comparison of Ultrasound and Kilovoltage X-Ray Fiducial Marker Imaging for Prostate Radiotheraphy Targeting”, Physics in Medicine and Biology, vol. 51, pp. 4981-4993, Sep 2006.
[40] K.E. Hild II, D. Erdogmus, K. Torkkola, J.C. Principe, “Feature Extraction Using Information-Theoretic Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1385-1392, Sep 2006.
[39] U. Ozertem, D. Erdogmus, R. Jenssen, “Spectral Feature Projections that Maximize Shannon Mutual Information with Class Labels”, Pattern Recognition, vol. 39, no. 7, pp. 1241-1252, July 2006.
[38] S.P. Kim, J.C. Sanchez, Y.N. Rao, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, “A Comparison of Optimal MIMO Linear and Nonlinear Models for Brain-Machine Interfaces”, Journal of Neural Engineering, vol. 3, pp. 145-161, May 2006.
[37] J. Cho, J.C. Principe, D. Erdogmus, M.A. Motter, “Modeling and Inverse Controller Design for an Unmanned Aerial Vehicle Based on the Self Organizing Map”, IEEE Transactions on Neural Networks, vol. 17, no. 2, pp. 445-460, 2005. (Special Issue on Neural Networks for Feedback Control Systems)
[36] K.E. Hild II, D. Erdogmus, J.C. Principe, “An Analysis of Entropy Estimators for Blind Source Separation”, Signal Processing, vol. 86, no. 1, pp. 182-194, 2006.
[35] K.E. Hild II, D. Erdogmus, J.C. Principe, “Experimental Upper Bound for the Performance of Convolutive Source Separation Methods”, IEEE Transactions on Signal Processing, vol. 54, no. 2, pp. 627-635, 2006.
[34] S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Sanchez, M.A. Nicolelis, J.C. Principe, “Determining Patterns in Neural Activity for Reaching Movements Using Non-Negative Matrix Factorization”, EURASIP Journal of Applied Signal Processing, vol. 2005, no. 19, pp. 3113-3121, 2005. (Special Issue on Trends in Brain-Computer Interfaces)
[33] Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Fast Error Whitening Algorithms for System Identification and Control with Noisy Data”, Neurocomputing, vol. 69, no. 1-3, pp. 158-181, 2005. (Invited paper for NNSP’03 Special Issue)
[32] A. Hegde, D. Erdogmus, J.C. Principe, “Quantifying Spatio-Temporal Dependencies in Epileptic ECOG”, Signal Processing, vol. 85, no. 11, pp. 2082-2100, 2005. (Special Issue on Neuronal Coordination in the Brain: A Signal Processing Perspective)
[31] K.E. Hild II, D. Pinto, D. Erdogmus, J.C. Principe, “Convolutive Blind Source Separation by Minimizing Mutual Information Between Segments of Signals”, IEEE Transactions on Circuits and Systems I, vol. 52, no. 10, pp. 2188-2196, 2005.
[30] K.H. Jeong, J.W. Xu, D. Erdogmus, J.C. Principe, “A New Classifier Based on Information Theoretic Learning with Unlabeled Data”, Neural Networks, vol. 18, no. 5-6, pp. 719-726, 2005 (Invited paper for IJCNN’05 Special Issue).
[29] J.C. Sanchez, D. Erdogmus, M. Nicolelis, J. Wessberg, J.C. Principe, “Interpreting Spatial and Temporal Neural Activity Through a Recurrent Neural Network Brain Machine Interface”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, no. 2, pp.213-219, 2005.
[28] D. Erdogmus, R. Agrawal, J.C. Principe, “A Mutual Information Extension to the Matched Filter”, Signal Processing, vol. 85, no. 5, pp. 927-935, 2005. (Special Issue on Information Theoretic Signal Processing)
[27]
D. Erdogmus, O.
Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo,
“Linear-Least-Squares
Initialization
of
Multilayer
Perceptrons
Through
Backpropagation of the Desired Response”, IEEE Transactions
on
Neural
Networks,
vol. 16, no. 2, pp. 325-337, 2005. code
[26] Y.N. Rao, D. Erdogmus, J.C. Principe, “Error Whitening Criterion for Adaptive Filtering: Theory and Algorithms” IEEE Transactions on Signal Processing, vol. 53, no. 3, pp. 1057-1069, 2005.
[25] M. Lazaro, I. Santamaria, D. Erdogmus, K.E. Hild II, C. Pantaleon, J.C. Principe, “Stochastic Blind Equalization Based on PDF Fitting Using Parzen Estimator”, IEEE Transactions on Signal Processing, vol. 53, no. 2, pp. 696-704, 2005.
[24] T. Lehn-Schioler, A. Hegde, D. Erdogmus, J.C. Principe, “Vector Quantization Using Information Theoretic Concepts”, Natural Computing, vol. 4, pp. 39-51, 2005.
[23] J. Lan, J. Cho, D. Erdogmus, J.C. Principe, M. Motter, J. Xu, “Local Linear PID Controllers for Nonlinear Control”, International Journal of Control and Intelligent Systems, vol. 33, no. 1, pp. 26-35, 2005. (Special Issue on Nonlinear Adaptive PID Control)
[22] D. Erdogmus, Y.N. Rao, H. Peddaneni, A. Hegde, J.C. Principe, “Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation”, EURASIP Journal of Applied Signal Processing, vol. 2004, no. 13, pp. 2034-2041, 2004.
[21] D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, “Image Construction Methods for Phased Array Magnetic Resonance Imaging”, Journal Magnetic Resonance Imaging, vol. 20, pp. 306-314, 2004.
[20] V. Sindhwani, S. Rakshit, D. Deodhar, D. Erdogmus, J.C. Principe, P. Niyogi, “Feature Selection in MLPs and SVMs based on Maximum Output Information”, IEEE Transactions on Neural Networks, vol. 15, no. 4, pp. 937-948, 2004. (Special Issue on Information Theoretic Learning)
[19] D. Erdogmus, K.E. Hild II, M. Lazaro, I. Santamaria, J.C. Principe, “Adaptive Blind Deconvolution of Linear Channels Using Renyi’s Entropy with Parzen Estimation”, IEEE Transactions on Signal Processing, vol. 52, no. 6, pp. 1489-1498, 2004.
[18] D. Erdogmus, J.C. Principe, “Lower and Upper Bounds for Misclassification Probability Based on Renyi’s Information”, Journal of VLSI Signal Processing Systems, vol. 37, no. 2/3, pp. 305-317, 2004. (Invited paper for Special Issue on Machine Learning for Signal Processing)
[17] D. Erdogmus, E.G. Larsson, R. Yan, Jose C. Principe, J.R. Fitzsimmons, “Measuring the Signal-to-Noise-Ratio in Magnetic Resonance Imaging: A Caveat”, Signal Processing, vol. 84, no. 6, pp. 1035-1040, 2004.
[16] D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, “Asymptotic SNR-Performance of Some Image Combination Techniques for Phased-Array MRI”, Signal Processing, vol. 84, no. 6, pp. 997-1003, 2004.
[15] D. Erdogmus, K.E. Hild II, Y.N. Rao, J.C. Principe, “Minimax Mutual Information Approach for Independent Components Analysis”, Neural Computation, vol. 16, no. 6, pp. 1235-1252, 2004.
[14] S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, “Divide-and-Conquer Approach for Brain Machine Interfaces: Nonlinear Mixture of Competitive Local Linear Models”, Neural Networks, vol. 16, no. 5-6, pp. 865-871, 2003. (Invited Paper for IJCNN’03 Special Issue on Advances in Neural Networks Research)
[13] Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Stochastic Error Whitening Algorithm for Linear Filter Estimation with Noisy Data”, Neural Networks, vol. 16, no. 5-6, pp. 873-880, 2003. (Invited Paper for IJCNN’03 Special Issue on Advances in Neural Networks Research)
[12] D. Erdogmus, J.C. Principe, K.E. Hild II, “On-Line Entropy Manipulation: Stochastic Information Gradient”, IEEE Signal Processing Letters, vol. 10, no. 8, pp. 242-245, 2003.
[11] E.G. Larsson, D. Erdogmus, R. Yan, J.C. Principe, J.R. Fitzsimmons, “SNR-Optimality of Sum-of-Squares Reconstruction for Phased-Array Magnetic Resonance Imaging”, Journal of Magnetic Resonance, vol. 163, no. 1, pp. 121-123, 2003.
[10] D. Erdogmus, J.C. Principe, “Convergence Properties and Data Efficiency of the Minimum Error Entropy Criterion in ADALINE Training”, IEEE Transactions on Signal Processing, vol. 51, no. 7, pp. 1966-1978, 2003.
[9] D. Erdogmus, Y.N. Rao, K.E. Hild II, J.C. Principe, “Simultaneous Principal Component Extraction with Application to Adaptive Blind Multiuser Detection”, EURASIP Journal on Applied Signal Processing, vol. 2002, no. 12, pp. 1473-1484, 2002. (Special Issue on Multiuser Detection and Blind Estimation)
[8] D. Erdogmus, K.E. Hild II, J.C. Principe, “Blind Source Separation Using Renyi's a-Marginal Entropies”, Neurocomputing, vol. 49, no. 1, pp. 25-38, 2002. (Special Issue on Blind Source Separation and Independent Component Analysis)
[7] D. Erdogmus, J.C. Principe, “Generalized Information Potential Criterion for Adaptive System Training”, IEEE Transactions on Neural Networks, vol. 13, no. 5, pp. 1035-1044, 2002.
[6] D. Erdogmus, J.C. Principe, “Insights on the Relationship Between Probability of Misclassification and Information Transfer Through Classifiers”, International Journal of Computers, Systems and Signals, vol. 3, no. 1, pp. 40-54, 2002. (Invited Paper)
[5] D. Erdogmus, J.C. Principe, “An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems”, IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1780-1786, 2002. (Recipient of the IEEE Signal Processing Society 2003 Young Author Award)
[4] D. Erdogmus, J.C. Principe, K.E. Hild II, “Beyond Second-Order Statistics for Learning: A Pairwise Interaction Model for Entropy Estimation”, Natural Computing, vol. 1, no.1, pp. 85-108, 2002.
[3] I. Santamaria, D. Erdogmus, J.C. Principe, “Entropy Minimization for Supervised Digital Communications Channel Equalization”, IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1184-1192, 2002.
[2] D. Erdogmus, A. U. Genc, J.C. Principe, “A Neural Network Perspective to Extended Luenberger Observers”, Institute of Measurement and Control, vol. 35, pp. 10-16, 2002. (Special Feature on Recent Advances in Neural Networks, Part 2)
[1] K.E. Hild II, D. Erdogmus, J.C. Principe, “Blind Source Separation Using Renyi's Mutual Information”, IEEE Signal Processing Letters, vol. 8, no. 6, pp. 174-176, 2001. (Corrections in vol. 10, no. 8, pp. 250, Aug 2003)
Peer-Reviewed Conferences
[x]
K.E. Hild II, U. Orhan, D.
Erdogmus, B. Roark, B. Oken, S. Purwar, H. Nezamfar, M.
Fried-Oken, “An
ERP-based
Brain-Computer Interface for Text Entry using Rapid Serial
Visual
Presentation and Language Modeling”, Proceedings of
ACL’11,
accepted in
Apr
2011. (http://www.aclweb.org/anthology-new/)
[158] H.
Nezamfar, U. Orhan, D. Erdogmus, K.E. Hild, S. Purwar, B. Oken,
M.Fried-Oken,
“On
Visually
Evoked Potentials in EEG Induced by Multiple Pseudorandom
Binary
Sequences for Brian Computer Interface Design”,
ICASSP’2011, May 2011.
[157] E. Bas, D.
Erdogmus, “Polytope
Kernel
Density
Estimates
on
Delaunay
Graphs”, ICASSP’2011,
May 2011.
[156] E.
Bas, D. Erdogmus, “Sampling
on
Locally Defined Principal Manifolds”,
ICASSP’2011, May 2011.
[155] E. Bas, N.
Ghadarghadar, D.
Erdogmus, “Automated
Extraction
of
Blood
Vessel
Networks
from
3D
Microscopy
Image Stacks via Multi-scale Principal Curve Tracing”,
ISBI 2011, Apr 2011.
[154] E. Bas, D.
Erdogmus, “A
Ridge
Score
with
Application
to
Piecewise
Linear Neural
Reconstruction”, ISBI
2011, Apr 2011.
[153] S. You, E.
Ataer-Cansizoglu, D. Erdogmus, J. Tanyi, J. Kalpathy-Cramer, “A
Novel
Application
of
Principal
Surfaces
to
Segmentation in 4D-CT for
Radiation Treatment
Planning”, ICMLA’2010, Bethesda, Maryland, Dec 2010.
(Special
Session
on
Applications in Radiation Therapy).
[152] S.
Dasgupta, M. Fanton, J.
Pham, M. Willard, H. Nezamfar, B.
Shafai, D. Erdogmus, “Brain
Controlled
Robotic
Platform Using Steady State Visual Evoked Potentials
Acquired by
EEG”,
AsilomarSSC’2010, Asilomar, California, Nov 2010. (Undergraduate
coauthors)
[151] D.
Erdogmus,
“Brain-Computer
Interfaces:
A
Timely
Opportunity
for
Project-based
Learning”, NAE
Frontiers in
Engineering Education Workshop, Irvine, California, Dec 2010.
(Invited
by the
National Academy of Engineering)
[150] E. Bas, D.
Erdogmus,
“Piecewise
Linear
Cylinder
Models
for
3-Dimimensional
Axon
Segmentation
in
Brainbow Imagery”, ISBI’2010, Rotterdam, Netherlands, Apr
2010.
[149] T.
Lan, D. Erdogmus, L. Black, J. van Santen, “Identifying
Informative
Features
for
ERP
Speller
Systems
based
on
RSVP Paradigm”, ESANN’2010,
Bruges,
Belgium,
Apr 2010.
[148] E. Bas, D.
Erdogmus, “Principle
Curve
Tracing”, ESANN’2010, Bruges, Belgium, Apr 2010.
[147] J. Zupanc,
E. Bas, D.
Erdogmus, “Analysis
of
Lipid
Vesicle
Populations
from
Microscopy
Video
Sequences”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.
[146] T.
Lan, D. Erdogmus, L. Black, J. van Santen, “A
Comparison of Different
Dimensionality Reduction and Feature Selection Methods for
Single Trial
ERP
Detection”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.
[145] K.E.
Hild II, S. Mathan, Y. Huang, D. Erdogmus, M. Pavel, “Optimal
Set
of
EEG
Electrodes
for
Rapid
Serial
Visual
Presentation”, EMBC’2010, Buenos
Aires,
Argentina, Aug 2010.
[144] E.
Ataer-Cansizoglu, E.
Bas, M.A. Yousus, S. You, W. D. D’Souza, D. Erdogmus, “Towards
Respiration
Management
in
Radiation
Treatment
of
Lung
Tumors:
Transferring Regions
of
Interest from Planning CT to Kilovoltage X-ray Images”,
EMBC’2010,
Buenos
Aires, Argentina, Aug 2010.
[143] S. van Vaerenbergh, I. Santamaria, P.E. Barbano, U. Ozertem, D. Erdogmus, “Path-based Spectral Clustering for Decoding Fast Time-varying MIMO Channels”, Proceedings of MLSP 2009, pp. 1-6, Grenoble, France, Sep 2009.
[142] M.F.
Talu, D. Erdogmus, “A
Hybrid
Object Tracking Method for Scaled and
Oriented
Objects”, Proceedings of INISTA 2009, pp. ???-???, Trabon,
Turkey,
Jun
2009.
[141] M.F.
Talu, D. Erdogmus, “Real-time
Face
and
Hand
Tracking
with
Correlation”,
Proceedings of INISTA 2009, pp. ???-???, Trabon, Turkey, Jun
2009.
[140] Y.
Huang, D. Erdogmus, M. Pavel, K.E. Hild II, S. Mathan, “A
Hybrid
Generative/Discriminative
Method
for
EEG
Evoked
Potential Detection”,
Proceedings
of NER 2009, pp. 283-286, Antalya, Turkey, Apr 2009.
[139] T.
Lan, Y. Huang, D. Erdogmus, “A
Comparison
of
Temporal
Windowing
Schemes
for
Single-trial
ERP Detection”, Proceedings of NER 2009, pp. 331-334,
Antalya,
Turkey, Apr 2009.
[138] E.
Sejdic, U. Ozertem, I. Djurovic, D. Erdogmus, “A New
Approach
for the
Reassignment
of Time-Frequency Representations”, Proceedings of ICASSP
2009, pp.
2997-3000,
Taipei, Taiwan, Apr 2009.
[137] Y.
Huang, D. Erdogmus, M. Pavel, K.E. Hild II, M. Santosh, “Target
Detection
Using
Incremental
Learning
on
Single-trial
Evoked
Response”, Proceedings
of
ICASSP
2009, pp. 481-484, Taipei, Taiwan, Apr 2009.
[136] J.
Kalpathy-Cramer, U. Ozertem, W. Hersh, M. Fuss, D. Erdogmus, “Robust
Segmentation
Using
Non-parametric
Snakes
with
Multiple
Cues
for
Applications in
Radiation Oncology”, Digital Proceedings of SPIE Medical
Imaging
2009 –
Image
Processing, vol. 7259, Lake Bueno Vista, Florida, Feb 2009.
(http://spiedigitallibrary.aip.org/)
[135] J.
Kalpathy-Cramer, U. Ozertem, M. Fuss, D. Erdogmus, “Semi-supervised
Segmentation
Using
Non-parametric
Snakes
for
3D-CT
Applications
in
Radiation
Oncology”, Proceedings of MLSP’08, pp. 109-114, Oct 2008.
[134] S.
Mathan, D. Erdogmus, Y. Huang, M. Pavel, P. Ververs, J.
Carciofini, M.
Dorneich, S. Whitlow, “Rapid
Image
Analysis Using Neural Signals”,
Proceedings
of CHI’08, pp. 3309-3314, Florence, Italy, Apr 2008. 38%
[133] K.E.
Hild, D. Erdogmus, S. Mathan, M. Pavel, “Trellis-based
Circle
Detection”, Proceedings
of MLSP’08, pp. 211-215, Cancun, Mexico, Oct 2008.
[132] U.
Ozertem, D. Erdogmus, O. Arikan,
“Piecewise
Smooth
Signal
Denoising
via
Principal
Curve
Projections”, Proceedings
of MLSP’08,
pp. 426-431, Cancun, Mexico, Oct 2008.
[131] Y.
Huang, D. Erdogmus, M. Pavel, S. Mathan, “Mixed
Effects
Models for EEG
Evoked
Response Detection”, Proceedings of MLSP’08, pp. 91-96,
Cancun,
Mexico,
Oct 2008.
[130] U.
Ozertem, D. Erdogmus, “Principal
Graphs
and
Piecewise
Linear
Subspace
Constrained
Mean-Shift”, Proceedings of MLSP’08, pp. 438-443,
Cancun,
Mexico,
Oct 2008.
[129] T.
Lan, D. Erdogmus, S.J. Hayflick, U.J. Szumowski, “Phase
Unwrapping
and
Background Correction in MRI”, Proceedings of MLSP’08, pp.
239-243,
Cancun,
Mexico, Oct 2008.
[128] Y.
Huang, D. Erdogmus, S. Mathan, M. Pavel, “Detecting
EEG
Evoked
Responses
for
Target
Image
Search
with
Mixed Effect Models”, Proceedings of
EMBC’08,
Vancouver,
BC, Aug 2008.
[127] E.
Bas, D. Erdogmus, U. Ozertem, M. Pavel,
“Towards
Fish-Eye
Camera
Based
In-Home
Activity
Assessment”,
Proceedings of
EMBC’08, Vancouver, BC, Aug 2008.
[126] Z. Lu, T.K. Leen, Y. Huang, D. Erdogmus, “A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances”, Proceedings of ICML’08, pp. 624-631, Helsinki, Finland, Jul 2008.
[125] O.
Kyrgyzov, D. Erdogmus, “Geometric
Structure
of
Sum-of-Rank-1
Decompositions
for
n-Dimensional
order-p
Symmetric
Tensors”, Proceedings of ISCAS’08,
pp.
1340-1343, Seattle WA, May 2008.
[124] U.
Ozertem, D. Erdogmus, “Signal
Denoising
using
Principal
Curves:
Application
to
Time
Warping”, Proceedings of ICASSP’08, pp. 3709-3712, Las
Vegas
NV,
Mar 2008.
[123] U.
Ozertem, D. Erdogmus, M.A. Carreira-Perpinan, “Density
Geodesics
for
Similarity
Clustering”, Proceedings of ICASSP’08, pp. 1977-1980, Las
Vegas NV,
Mar
2008.
[122] Y.
Huang, D. Erdogmus, Z. Lu, T.K. Leen, “Detecting
Mild
Cognitive Loss
with
Continuous Monitoring of Medication Adherence”,
Proceedings of
ICASSP’08, pp.
609-612, Las Vegas NV, Mar 2008.
[121] Y.
Huang, D. Erdogmus, S. Mathan, M. Pavel, “Large-scale
Image
Database
Triage
via
EEG
Evoked
Responses”, Proceedings of ICASSP’08, pp. 429-432, Las
Vegas
NV, Mar
2008.
[120] U.
Ozertem, D. Erdogmus, “Local
Conditions
for Critical and Principal
Manifolds”,
Proceedings of ICASSP’08, pp. 1893-1896, Las Vegas NV, Mar 2008.
[119] D. Erdogmus, U. Ozertem, “Nonlinear Coordinate Unfolding via Principal Curve Projections with Application to Nonlinear BSS”, Proceedings of ICONIP 2007, Part II, pp. 488-497, Kitakyushu, Japan, Nov 2007 (published in 2008). (Invited paper for the Special Session on Recent Advances in Blind Source Separation; Barros and Ohnishi)
[118] S. Han, S. Rao, D. Erdogmus, J.C. Principe, “A Novel Switching Scheme Between Adaptive Information Algorithms”, Proceedings of IJCNN 2007, pp. 2840-2845, Orlando, Florida, USA, Jul 2007.
[117] U. Ozertem, A. Gruber, D. Erdogmus, “Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient Vector Flow and Kernel Annealing”, Proceedings of IJCNN 2007, pp. 1397-1400, Orlando, Florida, USA, Jul 2007.
[116] U. Ozertem, D. Erdogmus, “A Nonparametric Approach for Active Contours”, Proceedings of IJCNN 2007, pp. 1407-1410, Orlando, Florida, USA, Jul 2007.
[115] Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “A Fusion Approach for Image Triage Using Single Trial ERP Detection”, Proceedings of NER 2007, pp. 473-476, Kohala Coast, Hawaii, USA, May 2007.
[114] M. Pavel, T. Hayes, I. Tsay, D. Erdogmus, A. Paul, N. Larimer, H. Jimison, J. Hunt, “Continuous Assessment of Gait Velocity in Parkinson’s Disease from Unobtrusive Measurements”, Proceedings of NER 2007, pp. 700-703, Kohala Coast, Hawaii, USA, May 2007.
[113] D. Erdogmus, U. Ozertem, “Self-Consistent Locally Defined Principal Surfaces”, Proceedings of ICASSP 2007, vol. 2, pp. 549-552, Honolulu, Hawaii, USA, Apr 2007.
[112] P. Pokharel, U. Ozertem, D. Erdogmus, J.C. Principe, “Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices”, Proceedings of ICASSP 2007, vol. 2, pp. 645-648, Honolulu, Hawaii, USA, Apr 2007.
[111] D. Erdogmus, U. Ozertem, “Information Regularized Decision Fusion for Target Localization with Binary Sensor Networks”, Proceedings of ICASSP 2007, vol. 2, pp. 1021-1024, Honolulu, Hawaii, USA, Apr 2007.
[110] R.
Jenssen, T. Eltoft, M. Girolami, D.
Erdogmus, “Kernel
Maximum
Entropy
Data
Transformation
and an Enhanced
Spectral
Clustering Algorithm”, Advances in NIPS 19, pp. 633-640,
2007.
(NIPS’06)
[109] S. Mathan,
P. Ververs, M. Dorneich, S.
Whitlow, J. Carciofini, D. Erdogmus, M. Pavel, C. Huang, T. Lan,
A.
Adami,
“Neurotechnology
for
Image
Analysis:
Searching
for Needles in Haystacks
Efficiently”, Proceedings of AUGCOG 2006 (jointly with
HFES 2006),
pp.
???, San
Francisco, California, USA, Oct 2006. (Best Paper Award)
[108] Y. Huang,
D. Erdogmus, S. Mathan, M. Pavel,
“Boosting
Linear
Logistic
Regression
for
Single Trial ERP Detection in
Rapid
Serial Visual Presentation Tasks”, Proceedings of EMBC
2006, pp.
3369-3372, New
York City, New York, USA, Sep 2006.
[107] U.
Ozertem, D. Erdogmus, “Maximum
Entropy
Approximation
for Kernel Machines”, Proceedings of MLSP 2006, pp.
349-352,
Maynooth, Ireland, Sep 2006.
[106] U.
Ozertem, D. Erdogmus, “Clustering
with
Normalized
Information
Potential
Constrained
Maximum Entropy Boltzmann
Distribution”, Proceedings of IJCNN 2006, pp. 4892-4897, Vancouver, British Columbia,
Canada, Jul 2006.
[105] Y.
Huang, D. Erdogmus, S. Mathan, M. Pavel, “Comparison
of
Linear
and
Nonlinear
Approaches
on Single Trial ERP Detection in
Rapid
Serial Visual Presentation Tasks”, Proceedings of IJCNN 2006, pp. 1136-1142, Vancouver,
British Columbia, Canada, Jul 2006.
[104] T. Lan, D.
Erdogmus, U. Ozertem, Y. Huang,
“Estimating
Mutual
Information
Using
Gaussian
Mixture Model for Feature
Ranking
and Selection”, Proceedings of IJCNN 2006, pp. 5034-5039,
Vancouver,
British
Columbia, Canada, Jul 2006.
[103] T. Lan, D.
Erdogmus, M. Pavel, S. Mathan,
“Automatic
Frequency
Band
Segmentation
Using
Statistical Similarity for
Power
Spectrum Density Based Brain Computer Interfaces”,
Proceedings of
IJCNN
2006,
pp. 4650-4655, Vancouver, British Columbia, Canada, Jul 2006.
[102] R.
Jenssen, D. Erdogmus, J.C. Principe, T.
Eltoft, “Information
Theoretic
Angle-Based
Spectral
Clustering:
A
Theoretical
Analysis and an Algorithm”, Proceedings of IJCNN 2006, pp.
4904-4911,
Vancouver, British Columbia, Canada, Jul 2006.
[101] U.
Ozertem, D. Erdogmus, “Mean
Shift
Spectral
Clustering
for
Perceptual
Image Segmentation”, Proceedings of
ICASSP
2006, vol.
2, pp ???, Toulouse, France, May 2006. (Best Student Paper
Finalist)
[100] D.
Erdogmus, M.A. Carreira Perpinan, U.
Ozertem, “Kernel
Density
Estimation, Affinity-Based Clustering, and
Typical
Cuts”, Proceedings of ICASSP 2006, vol. 5, pp ???,
Toulouse,
France,
May 2006.
[99] O.
P.
Pokharel,
J.W.
Xu,
D.
Erdogmus,
J.C.
Principe, “A
Closed Form Solution for a Nonlinear Wiener Filter”,
Proceedings
of ICASSP 2006, vol. 3, pp ???, Toulouse, France, May 2006.
[98] S.
Mathan,
S.
Whitlow,
D.
Erdogmus,
M.
Pavel,
P. Ververs, M. Dorneich, “Neurophysiologically
Driven
Image
Triage:
A
Pilot
Study”, Proceedings of SIGCHI 2006, pp. ???, Montreal,
Quebec,
Canada,
Apr 2006.
[97] Frederic
Vrins,
D.
Erdogmus,
C.
Jutten,
M.
Verleysen,
“Zero-Entropy
Minimization
for
Blind
Extraction
of Bounded
Sources
(BEBS)”, Proceedings of ICA 2006, pp. 747-754, Charleston,
South
Carolina, USA,
Mar 2006.
[96] U.
Ozertem,
D.
Erdogmus,
T.
Lan,
“Recursive
Generalized
Eigendecomposition
for
Independent Components Analysis”,
Proceedings of ICA 2006, pp. 198-205, Charleston, South
Carolina, USA,
Mar
2006.
[95] T.
Lan,
Y.
Huang,
D.
Erdogmus,
“A
Comparison
of
Linear
ICA
and Local Linear ICA for Mutual Information
Based
Featue Ranking”, Proceedings of ICA 2006, pp. 823-830,
Charleston,
South
Carolina, USA, Mar 2006.
[94] R.
Jenssen,
D.
Erdogmus,
K.E.
Hild
II,
J.C.
Principe, T. Eltoft, “Optimizing
the
Cauchy-Schwarz
PDF
Divergence
for
Information
Theoretic, Nonparametric Clustering”, Proceedings of
EMMCVPR 2005,
pp.
34-45,
St. Augustine, Florida, Nov 2005.
[93] A.
Hegde,
D.
Erdogmus,
J.C.
Principe,
“Spatiotemporal
Clustering
of
Epileptic
ECOG”, Proceedings of EMBC’05,
pp.
4199-4202, Shanghai, China, Sep 2005.
[92] T.
Lan,
D.
Erdogmus,
A.
Adami,
M.
Pavel, S.
Mathan, “Salient
EEG
Channel
Selection
in
Brain Computer Interfaces by
Mutual
Information Maximization”, Proceedings of EMBC’05, pp.
???,
Shanghai,
China,
Sep 2005.
[91] S.
Mathan,
N.
Mazaeva,
S.
Whitlow,
A.
Adami,
D. Erdogmus, T. Lan, M. Pavel, “Sensor-Based
Cognitive
State
Assessment
in
a
Mobile
Environment”, Proceedings of AUGCOG’05 (jointly with
HCII’05), pp.
???, Las Vegas, Nevada, Jul 2005.
[90] J.
Zhao,
D.
Erdogmus,
C.
Huang,
D.
Wu, Y.
Fang, “An
Adaptive
Motion
Estimation
Scheme Using Maximum Mutual
Information
Criteria”, Proceedings of EUSIPCO’05, pp. ???, Antalya,
Turkey, Sep
2005.
[89] I.
Santamaria,
D.
Erdogmus,
R.
Agrawal,
J.C.
Principe,
“Robust
Matched
Filtering
in the Feature Space”,
Proceedings of
EUSIPCO’05, pp. ???, Antalya, Turkey, Sep 2005.
[88] U.
Ozertem,
D.
Erdogmus,
I.
Santamaria,
“Detection
of
Nonlinearly
Distorted
Signals
Using Mutual Information”,
Proceedings of EUSIPCO’05, pp. ???, Antalya, Turkey, Sep 2005.
[87] T.
Lan,
A.
Adami,
D.
Erdogmus,
M.
Pavel,
“Estimating
Cognitive
State Using EEG Signals”, Proceedings of
EUSIPCO’05, pp.
???, Antalya, Turkey, Sep 2005.
[86] U.
Ozertem,
D.
Erdogmus,
“Supervised
Neural
Network
Training
Using
the
Minimum Error Entropy Criterion with
Variable-Size
and Finite-Support Kernel Estimates”, Proceedings of
MLSP’05, pp.
67-72,
Mystic, Connecticut, Sep 2005.
[85] A.
Hegde,
T.
Lan,
D.
Erdogmus,
“Order
Statistics
Based
Estimator
for
Renyi’s
Entropy”, Proceedings of
MLSP’05, pp.
335-339, Mystic, Connecticut, Sep 2005.
[84] S.
Han,
S.
Rao,
D.
Erdogmus,
J.C.
Principe,
“An
Improved
Minimum Error Entropy Criterion with Self-Adjusting
Step-Size”,
Proceedings of MLSP’05, pp. 317-322, Mystic, Connecticut, Sep
2005.
[83] U.
Ozertem,
D.
Erdogmus,
“Spectral
Clustering
with
Mean
Shift
Preprocessing”, Proceedings of MLSP’05, pp.
73-78,
Mystic, Connecticut, Sep 2005.
[82] T.
Lan,
D.
Erdogmus,
“Local
Linear
ICA for
Mutual Information Estimation in Feature Selection”,
Proceedings of
MLSP’05,
pp. 3-8, Mystic, Connecticut, Sep 2005.
[81] U.
Ozertem,
D.
Erdogmus,
“Maximally
Discriminative
Spectral
Feature
Projections
Using
Mutual Information”,
IJCNN’05, vol. 1, pp. 208-213, Montreal, Quebec, Aug 2005.
[80] T.
Lan,
D.
Erdogmus,
A.
Adami,
M.
Pavel,
“Feature
Selection
by Independent Component Analysis and Mutual
Information
Maximization in EEG Signal Classification”, Proceedings of
IJCNN’05,
vol. 5,
pp. 3011-3016, Montreal, Quebec, Aug 2005.
[79] J.W.
Xu,
D.
Erdogmus,
J.C.
Principe,
“Minimum
Error
Entropy Luenberger Observer”, Proceedings of ACC’05, pp.
1923-1928, Portland, Oregon, Jun 2005.
[78] D.
Erdogmus,
A.
Adami,
M.
Pavel,
T.
Lan, S.
Mathan, S. Whitlow, M. Dorneich, “Cognitive State
Estimation
Based on
EEG for
Augmented Cognition”, Proceedings of NER’05, pp. 566-569,
Arlington,
Virginia,
Mar 2005.
[77] R.
Jenssen,
D.
Erdogmus,
J.C.
Principe,
T.
Eltoft,
“The
Laplacian
Spectral
Classifier”, Proceedings of ICASSP’05,
vol. 5,
pp. 325-328, Philadelphia, Pennsylvania, Mar 2005. (Best
Student
Paper Award)
[76] D.
Erdogmus,
Y.N.
Rao,
J.C.
Principe,
“Supervised
Training
of
Adaptive
Systems
with Partially Labeled Data”,
Proceedings of ICASSP’05, vol. 5, pp. 321-324, Philadelphia,
Pennsylvania, Mar
2005.
[75] R.
Yan,
G.
He,
D.
Erdogmus,
S.P.
Kim, J.C.
Principe, Y. Liu, “Separating
Spatial
and Temporal Activation Patterns
in fMRI
Using Competitive Subspace Projection”, Proceedings of
ICASSP’05,
vol.
2, pp.
473-476, Philadelphia, Pennsylvania, Mar 2005.
[74] Y.N.
Rao,
S.P.
Kim,
J.C.
Sanchez,
D.
Erdogmus,
J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A. Nicolelis,
“Learning
Mappings
in
Brain
Machine
Interfaces
with Echo State Networks”,
Proceedings of
ICASSP’05, vol. 5, pp. 233-236, Philadelphia, Pennsylvania, Mar
2005.
[73] J.W.
Xu,
D.
Erdogmus,
R.
Jenssen,
Jose
C.
Principe, “An
Information
Theoretic
Perspective
to Kernel Independent
Components Analysis”, Proceedings of ICASSP’05, vol. 5,
pp.
249-252,
Philadelphia, Pennsylvania, Mar 2005.
[72] J.R.
Fitzsimmons,
R.
Yan,
D.
Erdogmus,
“MRI
Image
Reconstruction
via Homomorphic Signal Processing”,
Proceedings of
ICASSP’05, vol. 2, pp. 121-124, Philadelphia, Pennsylvania, Mar
2005.
[71] R.
Jenssen,
D.
Erdogmus,
J.C.
Principe,
T.
Eltoft,
“The
Laplacian
PDF Distance: A Cost Function for Clustering in
a Kernel
Feature Space”, Advances in NIPS’04, pp. 625-632,
Vancouver, BC,
Canada, Dec
2004.
[70] S.P.
Kim,
Y.N.
Rao,
D.
Erdogmus,
J.C.
Principe,
“Tracking
of
Multivariate
Time-Varying Systems Based on
On-Line
Variable Selection”, Proceedings of MLSP’04, pp. 123-132,
Sao Luis,
Brazil, Sep
2004.
[69] H.
Peddaneni,
D.
Erdogmus,
Y.N.
Rao,
A.
Hegde,
J.C. Principe, “Recursive
Principal
Components Analysis Using
Eigenvector Matrix Perturbation”, Proceedings of MLSP’04,
pp.
83-92,
Sao Luis,
Brazil, Sep 2004.
[68] R.
Jenssen,
D.
Erdogmus,
J.C.
Principe,
T.
Eltoft,
“Towards
a Unification of Information Theoretic Learning and
Kernel
Methods”, Proceedings of MLSP’04, pp. 93-102, Sao Luis,
Brazil, Sep
2004.
[67] D.
Erdogmus,
R.
Jenssen,
Y.N.
Rao,
J.C.
Principe,
“Multivariate
Density
Estimation
with
Optimal Marginal Parzen
Density
Estimation and Gaussianization”, Proceedings of MLSP’04,
pp. 73-82,
Sao
Luis,
Brazil, Sep 2004.
[66] A.
Hegde, D. Erdogmus, J.C. Principe, “Synchronization
Analysis
of
Epileptic
ECoG
Data
Using SOM-Based SI Measure”, Proceedings of
EMBC’04, pp.
952-955, San Francisco, California, Sep 2004.
[65] L.
Vielva,
I.
Santamaria,
D.
Erdogmus,
J.C.
Principe,
“On
the
Estimation
of the Mixing Matrix for Underdetermined
Blind
Source Separation in an Arbitrary Number of Dimensions”,
Proceedings of
ICA’04,
pp. 185-192, Granada, Spain, Sep 2004.
[64] D.
Erdogmus,
Y.N.
Rao,
J.C.
Principe,
“Gaussianizing
Transformations
for ICA”, Proceedings of ICA’04, pp.
26-32,
Granada, Spain, Sep 2004.
[63] J.W. Xu, D. Erdogmus, Y.N. Rao, J.C. Principe, “Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures”, Proceedings of ICA’04, pp. 311-318, Granada, Spain, Sep 2004.
[62] M. Lazaro, I. Santamaria, J. Via, D. Erdogmus, “Blind Equalization of Multilevel Signals Using Support Vector Machines”, Proceedings of EUSIPCO’04, pp. 41-44, Vienna, Austria, Sep 2004.
[61] A.U. Genc, S. Auddy, D. Erdogmus, S.P. Das, J.C. Principe, “Adaptive Extended Luenberger Observer in State Feedback Control of Nonlinear Dynamical Systems”, Proceedings of MED’04, pp. ???, Kusadasi, Turkey, Jun 2004. (Accepted but not published due to a registration miscommunication. Never resubmitted.)
[60] Y.N. Rao, S.P. Kim, J.C. Sanchez, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, “Learning Mappings in Brain Machine Interfaces with Echo State Networks”, Proceedings of IJCNN’04, pp. ???, Budapest, Hungary, Jul 2004. (Accepted but not published due to a registration miscommunication, see ICASSP’05.)
[59] A. Hegde, D. Erdogmus, T. Lehn-Schioler, Y.N. Rao, J.C. Principe, “Vector-Quantization by Density Matching in the Minimum Kullback-Leibler Divergence Sense”, Proceedings of IJCNN’04, pp. 105-109, Budapest, Hungary, Jul 2004.
[58] D. Erdogmus, Y.N. Rao, J.C. Principe, “Nonlinear Independent Component Analysis by Homomorphic Transformation of the Mixtures”, Proceedings of IJCNN’04, pp. 47-52, Budapest, Hungary, Jul 2004.
[57] T.
Lehn-Schioler,
D.
Erdogmus,
J.C.
Principe,
“Parzen
Particle
Filters”, Proceedings of ICASSP’04, vol. 5,
pp.
781-784, Montreal, Canada, May 2004.
[56] D.
Erdogmus,
R.
Yan,
E.G.
Larsson,
J.C.
Principe,
J.R. Fitzsimmons, “Mixture
of
Competitive Linear Models for
Phased-Array Magnetic Resonance Imaging”, Proceedings of
ICASSP’04,
vol. 5, pp.
585-588, Montreal, Canada, May 2004.
[55] J.W.
Xu,
D.
Erdogmus,
J.C.
Principe,
“Minimizing
the
Fisher
Information
of
the Error in Supervised Adaptive
Filter
Training”, Proceedings of ICASSP’04, vol. 5, pp. 513-516,
Montreal,
Canada, May
2004.
[54] Y.N. Rao, D. Erdogmus, J.C. Principe, “Accurate Linear Parameter Estimation in Colored Noise”, Proceedings of ICASSP’04, vol. 2, p. 689-692, Montreal, Canada, May 2004.
[53] J.W. Xu, D. Erdogmus, M.C. Ozturk, J.C. Principe, “Recursive Renyi’s Entropy Estimator for Adaptive Filtering”, Proceedings of ISSPIT’03, pp. ?, Darmstadt, Germany, Dec 2003.
[52] J.C. Sanchez, D. Erdogmus, Y.N. Rao, S.P. Kim, M. Nicolelis, J. Wessberg, J.C. Principe, “Interpreting Neural Activity Through Linear and Nonlinear Models for Brain Machine Interfaces”, Proceedings of EMBC’03, pp. 2160-2163, Cancun, Mexico, Sep 2003.
[51] A. Hegde, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Gao, “SOM-Based Similarity Index Measure: Quantifying Interactions Between Multivariate Structures”, Proceedings of NNSP’03, pp. 819-828, Toulouse, France, Sep 2003.
[50] D.E. Marossero, D. Erdogmus, N. Euliano, J.C. Principe, K.E. Hild II, “Independent Components Analysis for Fetal Electrocardiogram Extraction: A Case for the Data Efficient Mermaid Algorithm”, Proceedings of NNSP’03, pp. 399-408, Toulouse, France, Sep 2003.
[49] Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Fast Error Whitening Algorithms for System Identification and Control”, Proceedings of NNSP’03, pp. 309-318, Toulouse, France, Sep 2003.
[48] D. Erdogmus, O. Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo, R. Jenssen, “Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response”, Proceedings of IJCNN’03, vol. 3, pp. 2005-2010, Portland, Oregon, Jul 2003.
[47]
B.A. Davis,
D. Erdogmus,
Y.N. Rao, J.C. Principe,
“Supervised
Synaptic
Weight
Adaptation for a Spiking Neuron”,
Proceedings
of IJCNN’03, vol. 4, pp. 2558-2562, Portland, Oregon,
Jul 2003.
[46] Y.N.
Rao,
D.
Erdogmus,
J.C.
Principe,
“Error
Whitening
Criterion
for Linear Filter Estimation”,
Proceedings
of IJCNN’03, vol. 2, pp. 1447-1452, Portland, Oregon,
Jul 2003.
[45] S.P.
Kim,
J.C.
Sanchez,
D.
Erdogmus, Y.N.
Rao, J.C. Principe, M. Nicolelis, “Modeling
the
Relation
from
Motor
Cortical
Neuronal Firing to Hand Movements Using Competitive Linear
Filters and
a MLP”, Proceedings of IJCNN’03,
vol.
1,
pp.
66-70,
Portland,
Oregon, Jul 2003.
[44]
M.C. Ozturk, J.C.
Principe, B.
Davis, D. Erdogmus, “Simulation
of
the Freeman
Model of the
Olfactory Cortex: A Quantitative Performance Analysis for the
DSP
Approach”, Proceedings
of IJCNN’03,
vol.
1,
pp.
332-336,
Portland,
Oregon,
Jul
2003.
[43] R. Jenssen, K.E.
Hild II, D. Erdogmus, J.C. Principe, T. Eltoft
“Clustering
Using
Renyi’s
Entropy”,
Proceedings of IJCNN’03, vol. 1, pp. 523-528, Portland,
Oregon,
Jul
2003.
[42] R.
Jenssen,
D.
Erdogmus,
K.E.
Hild
II,
J.C. Principe, T. Eltoft,
“Information
Force
Clustering
Using
Directed Trees”, Proceedings of
EMMCVPR’03,
pp. 68-72, Lisbon, Portugal, Jul 2003.
[41] O. Fontenla-Romero, D. Erdogmus, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Linear Least-Squares Based Methods for Neural Networks Learning”, Proceedings of ICANN’03 (Springer Lecture Notes in Computer Science, vol. 1714), pp. 84-91, Istanbul, Turkey, Jun 2003.
[40] D.
Erdogmus,
Y.N.
Rao,
M.C.
Ozturk,
L.Vielva,
J.C. Principe, “On
the
Convergence of SIPEX: A Simultaneous Principal Components
Extraction
Algorithm”, Proceedings of ICASSP’03, vol. 2, pp. 697-700,
Hong
Kong,
Apr 2003.
[39] S.P.
Kim,
Y.N.
Rao,
D.
Erdogmus,
J.C.
Principe, “A
Hybrid
Subspace Projection Method for System Identification”,
Proceedings
of
ICASSP’03, vol. 6, pp. VI_321-VI_324, Hong Kong, Apr 2003.
[38] M.
Lazaro,
I.
Santamaria,
C.
Pantaleon,
D.
Erdogmus, J.C.
Principe, “Matched
Pdf-Based
Blind
Equalization”, Proceedings of
ICASSP’03,
vol. 4, pp. IV_297-IV_300, Hong Kong, Apr 2003.
[37] R.
Yan,
D.
Erdogmus,
E.G.
Larsson,
J.C.
Principe, J.R.
Fitzsimmons, “Image
Combination
for High-Field Phased-Array MRI”,
Proceedings
of ICASSP’03, vol. 5, pp. V_1-V_4, Hong Kong, Apr 2003.
[36] C.A.
Lai,
D.
Erdogmus,
J.C.
Principe,
“Echo
Cancellation by
Global Optimization of Kautz Filters Using an Information
Theoretic
Criterion”,
Proceedings of ICASSP’03, vol. 6, pp. VI_197-VI-200, Hong Kong,
Apr
2003.
[35] D.
Erdogmus,
Y.N.
Rao,
J.C.
Principe,
O.
Fontenla-Romero, A.
Alonso-Betanzos, “Recursive
Least
Squares
for an Entropy Regularized
MSE Cost
Function”, Proceedings of ESANN’03, pp. 451-455, Bruges,
Belgium,
Apr
2003.
[34] O.
Fontenla-Romero,
D.
Erdogmus,
J.C.
Principe,
A.
Alonso-Betanzos,
E. Castillo, “Accelerating
the
Convergence Speed of
Neural
Network Learning Methods Using Least Squares”, Proceedings
of
ESANN’03,
pp.
255-260, Bruges, Belgium, Apr 2003.
[33] R.
Thogulua,
D.
Erdogmus,
J.C.
Principe,
“Self-Organization
of
Multiple
Agents Using Information Theoretic Interactions”,
Proceedings
of
ICONS’03, pp. 574-579, Faro, Portugal, Apr 2003.
[32] L.
Vielva,
Y.
Pereiro,
D.
Erdogmus,
J.C.
Principe, “Inversion
Techniques
for
Underdetermined BSS in an Arbitrary Number of
Dimensions”,
Proceedings of ICA’03, pp. 131-136, Nara, Japan, Apr 2003.
[31] D.
Erdogmus,
K.E.
Hild
II,
Y.N.
Rao,
J.C. Principe, “Independent
Components
Analysis
Using Jaynes’ Maximum Entropy Principe”,
Proceedings of
ICA’03, pp. 385-390, Nara, Japan, Apr 2003.
[30] D.
Erdogmus,
A.
Hegde,
K.E.
Hild
II,
M.C. Ozturk, J.C. Principe,
“A Brute
Force
Analytical Formulation of the Independent Components
Analysis
Solution”, Proceedings of ICA’03, pp. 791-796, Nara,
Japan, Apr
2003.
[29] M.
Lazaro,
I.
Santamaria,
C.
Pantaleon,
D.
Erdogmus, K.E. Hild
II, J.C. Principe, “Blind
Equalization
by Sampled PDF Fitting”,
Proceedings of
ICA’03, pp. 1041-1046, Nara, Japan, Apr 2003.
[28] J.C.
Sanchez,
D.
Erdogmus,
Y.N.
Rao,
J.C.
Principe, M.
Nicolelis, J. Wessberg, “Learning
the
Contributions of the Motor,
Premotor, and
Posterior Parietal Cortices for Hand Trajectory Reconstruction
in a
Brain
Machine Interface”, Proceedings of NER’03, pp. 59-62,
Capri Island,
Italy, Mar
2003.
[27] J.C.
Sanchez,
S.P.
Kim,
D.
Erdogmus,
Y.N.
Rao,
J.C. Principe, J. Wessberg, M.
Nicolelis, “Input-Output
Mapping
Performance
of
Linear and Nonlinear
Models for
Estimating Hand Trajectories from Cortical Neuronal Firing
Patterns”,
Proceedings
of
NNSP’02,
pp. 139-148, Martigny, Switzerland, Sep 2002.
[26] D.
Erdogmus,
J.C.
Sanchez,
J.C.
Principe,
“Modified
Kalman
Filter
Based
Method for
Training State-Recurrent Multilayer Perceptrons”,
Proceedings of
NNSP’02, pp.
219-228, Martigny, Switzerland, Sep 2002.
[25] D.
Erdogmus,
J.C.
Principe,
S.P.
Kim,
J.C.
Sanchez,
“A
Recursive Renyi's Entropy
Estimator”, Proceedings of NNSP’02, pp. 209-217, Martigny,
Switzerland,
Sep
2002.
[24] D.
Erdogmus,
J.C.
Principe,
K.E.
Hild
II,
“Do
Hebbian
Synapses Estimate Entropy?”
Proceedings of NNSP’02, pp. 199-208, Martigny, Switzerland, Sep
2002.
[23] G.
K.
Thampi,
J.C.
Principe,
J.
Cho,
D.
Erdogmus, M.A. Motter, “Adaptive
Inverse
Control
Using
SOM
Based
Multiple Models”, Proceedings of CONTROLO’02,
pp.
278-282, Aveiro, Portugal, Sep 2002.
[22] N.
Obolensky,
D.
Erdogmus,
J.C.
Principe,
“A
Time-Varying Kalman Filter Applied to
Moving Target Tracking”, Proceedings of CONTROLO’02, pp.
418-422,
Aveiro,
Portugal, Sep 2002.
[21] D.
Erdogmus,
J.C.
Principe,
G.K.
Thampi,
“Adaptive
Linear
Observer for Nonlinear
Systems”, Proceedings of CONTROLO’02, pp. 56-60, Aveiro,
Portugal,
Sep
2002.
[20] L.
Vielva
,
I.
Santamaria,
C.
Pantaleon
,
J. Ibanez, D. Erdogmus, J.C. Principe,
“Estimation
of
the
Mixing
Matrix for Underdetermined Blind Source
Separation
Using Spectral Estimation Techniques”, Proceedings of
EUSIPCO’02, vol. 1, pp. 557-560,
Toulouse, France, Sep
2002.
[19] D.
Erdogmus,
J.C.
Principe,
L.
Vielva,
“Blind
Deconvolution
with Renyi’s Minimum
Entropy”, Proceedings of EUSIPCO’02, vol. 1, pp. 557-560,
Toulouse,
France, Sep
2002.
[18] D.
Erdogmus,
Y.N.
Rao,
J.C.
Principe,
O.
Fontenla-Romero,
L. Vielva, “An
Efficient, Robust, and Fast Converging Principal Components
Extraction
Algorithm: SIPEX-G”, Proceedings of EUSIPCO’02, vol. 2,
pp.
335-338,
Toulouse,
France, Sep 2002.
[17] D.
Erdogmus,
K.E.
Hild
II,
J.C.
Principe,
L.
Vielva, “Blind
Separation
of
Uncorrelated Sources via Principal Components Analysis of
Observations
for a
Symmetric Mixing Matrix”, Proceedings of EUSIPCO’02, vol.
2, pp.
75-78,
Toulouse, France, Sep 2002.
[16] D.
Erdogmus,
J.C.
Principe,
L.
Vielva,
D.
Luengo,
“Potential
Energy
and
Particle
Interaction
Approach for Learning in Adaptive Systems”, Proceedings
of
ICANN’02, pp. 456-461, Madrid, Spain, Aug 2002.
[15] J.C.
Sanchez,
D.
Erdogmus,
J.C.
Principe,
J.
Wessberg,
M. Nicolelis, “A
Comparison
Between Nonlinear Mappings and Linear State Estimation to
Model the
Relation
from Motor Cortical Neuronal Firing to Hand Movements”,
Proceedings
of
SAB’02
Workshop on Motor Control in Humans and Robots: On the Interplay
of
Real Brains
and Artificial Devices, Jose M. Carmena, George Maistros (eds.),
University of
Edinburgh, Scotland, pp. 59-65, Aug 2002.
[14] L.
Vielva,
D.
Erdogmus,
C.
Pantaleon,
I.
Santamaria,
J. Pereda, J.C. Principe,
“Underdetermined
Blind
Source
Separation
in a Time-Varying
Environment”,
Proceedings of ICASSP’02, vol. 3, pp. 3049-3052, Orlando,
Florida, May
2002.
[13] D.
Erdogmus,
Y.N.
Rao,
J.C.
Principe,
J.
Zhao,
K.E. Hild II, “Simultaneous
Extraction
of
Principal
Components
Using Givens Rotations and Output
Variances”,
Proceedings of ICASSP’02, vol. 1, pp. 1069-1072, Orlando,
Florida, May
2002.
[12] K.E.
Hild
II,
D.
Erdogmus,
J.C.
Principe,
“Blind
Source Separation of
Time-Varying,
Instantaneous Mixtures Using an On-Line Algorithm”,
Proceedings of
ICASSP’02, vol.
1, pp. 993-996, Orlando, Florida, May 2002.
[11] K.E.
Hild
II,
D.
Erdogmus,
J.C.
Principe,
“On-Line
Minimum
Mutual
Information
Method
for
Time-Varying Blind Source Separation”, Proceedings of
ICA’01,
pp.
126-131,
San Diego, California, Dec 2001.
[10] D.
Erdogmus,
L.
Vielva,
J.C.
Principe,
“Nonparametric
Estimation
and
Tracking
of
the Mixing Matrix for Underdetermined Blind Source Separation”,
Proceedings
of
ICA’01, pp. 189-194, San Diego, California, Dec 2001.
[9]
L.
Vielva, D. Erdogmus, J.C. Principe, “Underdetermined
Blind
Source
Separation
Using a Probabilistic Source Sparsity Model”, Proceedings
of
ICA’01,
pp.
675-679, San Diego, California, Dec 2001.
[8]
D.
Erdogmus, J.C. Principe, “An
On-Line
Adaptation
Algorithm for Adaptive
System
Training with Minimum Error Entropy: Stochastic Information
Gradient”,
Proceedings
of
ICA’01,
pp. 7-12, San Diego, California, Dec 2001.
[7]
D.
Erdogmus, D. Rende, J.C. Principe, T.F. Wong, “Nonlinear
Channel
Equalization
Using
Multilayer
Perceptrons
with Information-Theoretic Criterion”,
Proceedings
of NNSP’01, pp. 443-451, Falmouth, Massachusetts, Sep 2001.
[6]
D.
Erdogmus, J.C. Principe, “Convergence
Analysis
of
the
Information
Potential
Criterion in ADALINE Training”, Proceedings of NNSP’01,
pp.
123-132,
Falmouth, Massachusetts,
Sep 2001.
[5]
D.
Erdogmus, K.E. Hild II, J.C. Principe, “Independent
Components Analysis
Using
Renyi’s Mutual Information and Legendre Density Estimation”,
Proceedings
of
IJCNN’01, vol. 4, pp. 2762-2767, Washington, DC, Jul 2001.
[4]
D.
Erdogmus, J.C. Principe, “Entropy
Minimization
Algorithm
for Neural
Networks”,
Proceedings of IJCNN’01, vol. 4, pp. 3003-3008, Washington, DC,
Jul
2001.
[3]
D.
Erdogmus, J.C. Principe, “Information
Transfer
Through Classifiers and
its
Relation to Probability of Error”, Proceedings of
IJCNN’01, vol. 1,
pp.
50-54,
Washington, DC, Jul 2001.
[2]
J.C.
Principe, D. Erdogmus, “From
Adaptive
Linear to Information Filtering”,
Proceedings of AS-SPCC’00, pp. 99-104, Lake Louise, Alberta,
Canada,
Oct 2000.
[1]
D.
Erdogmus, J.C. Principe, “Comparison of
Entropy
and Mean Square Error
Criteria
in Adaptive System Training Using Higher Order Statistics”,
Proceedings
of
ICA’00,
pp. 75-80, Helsinki, Finland, Jun 2000.
Newsletter/Magazine Article
[1] D. Erdogmus, J.C. Principe, “Information Theoretic Learning: How It All Started and Where We Are Now”, (ENNS/INNS/JNNS) Tri-Society Newsletter, vol. 4, no. 2, pp. 4-7, 2006.[18] Y.
Huang,
D.
Erdogmus,
S.
Mathan,
K.E.
Hild
II, M. Pavel, “A Hybrid Generative/Discriminative
Method for
Single-trial Evoked Potential Detection”, Workshop for Women in
Machine
Learning, Vancouver, BC, Canada, Dec 2010.
[17] O.
Kyrgyzov,
D.
Erdogmus,
“Non-Redundant
Tensor
Decomposition”,
NIPS’2010
TKML Workshop,
Whistler, BC,
Canada, Dec 2010.
[16]
M
Fried-Oken, D. Erdogmus, B. Roark, B. Oken, “Initial Design of
an
Augmentative Communication Device with Non-invasive
Brain-computer
Interface,
Adaptive Language Modeling and Rapid Serial Visual Presentation
(RSVP)”, Oregon
Innovation Showcase, Nov 2010.
[15] D. Erdogmus, K.E. Hild II, B. Oken, B. Roark, M. Fried-Oken, “Initial Design of an AAC Device with Noninvasive BCI, Adaptive Language Modeling, and Rapid Serial Visual Presentation (RSVP)”, BCI Meeting 2010, Asilomar, California, Jun 2010. (abstract and poster)
[14] K. Weigand, R. Patel, D. Erdogmus, “Leveraging Semantic Frames and Serial Icon Presentation for Message Construction”, ISAAC 2010, Barcelona, Spain, May 2010. (abstract)
[13] K.E. Hild II, S. Mathan, M. Pavel, D. Erdogmus, “Enhanced Target Detection Using a Hybrid Human-Computer System”, Asilomar 2009, Sep 2009.
[12] M.
Pavel,
Y.
Huang,
K.E.
Hild
II,
S.
Mathan, D. Erdogmus, “The Dynamics of Visual Detection Processes
in
RSVP
Paradigms”, SfN 2009, Chicago, Illinois, Oct 2009.
[11] J.
Szumowski,
S.
Hayflick,
K.
Gaarderz,
E.
Bas,
E. Schwarz, D. Erdogmus,
“Assessment of Iron Distribution in Hallevorden-Spatz Syndrome
Using
Phase
Imaging and Relaxation Rate Measurements”, ISMRM 2009, Honolulu,
Hawaii, Apr
2009. (http://www.ismrm.org/09/)
[10] J. Kalpathy-Cramer, W. Hersh, U. Ozertem, D. Erdogmus, A. Srisuthep, M. Fuss, “Semisupervised Segmentation for Image-Guidance for Stereotactic Body Radiation Therapy (SBRT)”, RSNA 2008, Chicago, Illinois, Nov 2008.
[9] P.G. Jacobs, D. Erdogmus, E.A. Wan, M. Leek, S.A. Fausti, “Development of an Audio-Visual Dual Sensory Assist Device Using Mutual Information Optimization”, IHCON 2006, Lake Tahoe, California, USA, Aug 2006.
[8] D. Erdogmus, M. Pavel, S. Mathan, T. Ververs, M. Dorneich, S. Whitlow, “Neurotechnology for Inteligence Analysts: An Integrated Systems Approach – Optimal Nonlinear Event Related Potential Detection Filters”, DARPA/NIA Kick-Off Meeting, Chantilly, Virginia, Oct 2005.
[7] R. Thogulua, D. Erdogmus, J.C. Principe, “Self-Organization of Multiple Agents Using Information Theoretic Interactions”, Conference on Cooperative Control and Optimization, Gainesville, Florida, Dec 2002.
[6] D. Erdogmus, K. Leblebicioglu, “An Intelligent Evasion Law Design for an Aircraft Under Missile Threat”, NATO Symposium on Defense Industries, Ankara, Turkey, Sep 1999.
[5]
D. Erdogmus, K. Leblebicioglu, “Optimal
Trajectory Tracking Fuzzy Sliding Mode Guidance”, NATO Symposium
on
Defense
Industries, Ankara, Turkey, Sep 1999.
[4]
D. Erdogmus, K. Leblebicioglu,
“Tanimlanmis Uzak Noktalardan Gecerek Hedefe Gidecek Bir Fuze
Icin
Yorunge
Optimizasyonu”, Turkish Symposium on Technological Advances in
Defense
Industry, Ankara, Turkey, Jun 1999. (In Turkish)
[3]
D. Erdogmus, T. Inci, “Tanimlanmis Iki
Fuze Sisteminin Fiyat Verimliliginin Bulanik Mantik Kullanilarak
Incelenmesi”,
Turkish Symposium on Technological Advances in Defense Industry,
Ankara,
Turkey, Jun 1999. (In Turkish)
[2]
D. Erdogmus, K. Leblebicioglu, “Fuze
Tehdidindeki Ucak Icin Akilli Bir Gudum Sistemi Tasarimi”,
Turkish
Symposium on
Technological Advances in Defense Industry, Ankara, Turkey, Jun
1999.
(In
Turkish)
[1]
D. Erdogmus, T. Inci, “Turkiye’de Gudum
Teknolojisi Calismalari ve TUBITAK-SAGE EGTG: Altyapi Sorunlari,
Deneyim ve
Bilgi Birikimi”, Turkish Aerospace and Defense Technologies
Symposium,
Istanbul, Turkey, Apr 1999. (In Turkish)
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