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CSE 705
Seminar in Sparse Representation and Low-Rank Matrix Analytics Spring 2012 NOTE:
The full reference list is available as follows, please pick your paper
and email me your preferred date for presentation. Instructor: Dr. Yun (Raymond) Fu Course Webpage: http://www.cse.buffalo.edu/~yunfu/course/CSE705FU_Spring2012.htm Times: Wednesday 1pm¡ª2pm Location: 338A Davis Hall Office Hours: Right after the
seminar or by appointment TA: Liangyue
Li, liangyue@buffalo.edu Office Hours Location: 331 Davis Hall Course
Overview This
is a seminar course covering the popular machine learning topics in sparse
representation, low-rank matrix approximation and recovery. We will read and
discuss latest papers with all the students involved. Guest lecturers will be invited to present some topics if funding is
available for honoraria or expenses. Goals and Grading The default grading is Grading is P/F. Students
will be required to make in-class presentations and lead the discussions. By
special request of letter grading, some students may finish a final project
to study an existing algorithm or invent new algorithms in any related
topics. Note that participation is also considered as a factor for final
grading. Students can be absence for particular reasons (by instructor¡¯s
permission). Prerequisites Fundamental knowledge and some experiences of
machine learning, image processing, and computer vision. Course Topics and Schedules |
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No. |
Date |
Topics
and Papers |
Speaker |
1 |
1/18 |
Introduction |
Raymond |
2 |
1/25 |
Compressed
Sensing and Low-Rank Matrix Approximation [1,2] |
Kang Li, Wei
Chen |
3 |
2/1 |
Centralized Sparse Representation [3] |
Ashutosh
Pandey |
4 |
2/8 |
Image
Restoration [7] |
Meng Tong |
5 |
2/15 |
Missing Data [5] |
Shuang Wu |
6 |
2/22 |
Robust Sparse
Coding [12] |
Devansh Arpit |
7 |
2/29 |
Tensor
Decomposition [13] |
Mahmoud Abo
Khamis |
8 |
3/7 |
Randomized
Low-rank [10] |
Zhi Yang |
|
3/14 |
Spring Recess -
No Classes |
|
9 |
3/21 |
Structured Sparse Representation [4] |
Liangyue Li |
3/28 |
ICASSP 2012 - No
Classes |
||
10 |
4/4 |
Robust
Subspace Segmentation [6] and Subspace Selection [14] |
Ming Shao |
11 |
4/11 |
Super-resolution
by Sparse Representation [9] |
Dingcheng Ren |
12 |
4/18 |
Accelerated Low-Rank
[8] |
Mingbo Ma |
13 |
4/25 |
Hierarchical
Sparse Coding [11] |
Jie Hu |
|
5/1 |
Reading Days--No class, Projects/reports due |
|
Reference
List ( FullList
) [01] Justin Romberg
and Michael Wakin, Compressed Sensing: A Tutorial, 2007
www.ee.duke.edu/ssp07/Tutorials/ssp07-cs-tutorial.pdf [02] N. Halko, P. G. Martinsson, and J. A. Tropp, Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, SIAM Rev. 53, pp. 217-288, 2011 http://epubs.siam.org/sirev/resource/1/siread/v53/i2/p217_s1 [03] W. Dong, L. Zhang, and G. Shi. Centralized sparse representation for image restoration. ICCV, 2011. [04] E. Elhamifar and R. Vidal, Robust classification using structured sparse representation. CVPR, 2011. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995664&isnumber=5995307 [05] A. Eriksson and A. van den Hengel. Efficient computation of robust low-rank matrix approximations in the presence of missing data using the l1 norm. CVPR, 2010. http://cs.adelaide.edu.au/~anders/papers/eriksson-cvpr-10.pdf [06] G. Liu, Z. Lin, and Y. Yu. Robust subspace segmentation by low-rank representation. In Proceedings of the26th International Conference on Machine Learning (ICML), 2010. [07] Haichao Zhang, Jianchao Yang, Yanning Zhang, Nasser M. Nasrabadi and Thomas S. Huang, Close the Loop: Joint Blind Image Restoration and Recognition with Sparse Representation Prior, 13th International Conference on Computer Vision (ICCV), 2011. [08] Yadong Mu, Jian Dong, Xiaotong Yuan, and Shuicheng Yan. Accelerated low-rank visual recovery by randomprojection. In Computer Vision and Pattern Recognition (CVPR), 2011. [09] J. Yang, J. Wright, T. Huang, and Y. Ma. Image super-resolution as sparse representation of raw image patches. Computer Vision and Pattern Recognition, 2008. [10] Tianyi Zhou and Dacheng Tao. Godec: Randomized lowrank & sparse matrix decomposition in noisy case. In ICML, pages 33¨C40, 2011. [11] K. Yu, Y. Lin, and J. Lafferty. Learning image representations from the pixel level via hierarchical sparse coding. In Computer Vision and Pattern Recognition (CVPR), 2011 [12] M. Yang, L. Zhang, J. Yang, and D. Zhang. Robust sparse coding for face recognition. In Computer Visionand Pattern Recognition (CVPR), 2011. [13] R. Tomioka, T. Suzuki, K. Hayashi, and H. Kashima. Statistical performance of convex tensor decomposition. Advances in Neural Information Processing Systems (NIPS), page 137, 2011 http://books.nips.cc/papers/files/nips24/NIPS2011_0596.pdf [14] D. Tao, X.
Li, X. Wu, S. J. Maybank, Geometric Mean for
Subspace Selection, IEEE Trans. Pattern Anal. Mach. Intell.,
31(2): 260-274, 2009 |
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Last
Update: 1-8-2012, Copyright 2004~2012, Raymond Fu, All Rights Reserved |