Paper Survey of Sparse Coding and
Related Issues
Felix Xinnan YU
Sep 17, 2010
Sparse coding is a technology
widely used in signal processing. It is becoming a hot topic in image and video
analysis. For example, there are around 20 papers in CVPR 2010 related to
sparse representation. As suggested by Prof. Chang, we will survey several papers
on Friday, Sep 17 2010. Sparse coding and related issues, especially pooling
methods for sparse coding, will be covered.
I would like to thank Prof.
Chang and Wei in helping selecting the papers. For
those who are not familiar with the basic rules of sparse coding, I suggest you
to read the first paper and skim through the tutorial slides in “useful
resources” first.
1. Papers will be covered in the survey:
Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification (CVPR 2009), by Jianchao Yang, Kai Yu, Yihong Gong, Thomas Huang [code]
Learning Mid-Level Features For Recognition (CVPR 2010), by Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponce
A Theoretical Analysis of Feature Pooling in Visual Recognition (ICML 2010), by Y-Lan Boureau, Jean Ponce, Yann LeCun
Locality-constrained Linear Coding for Image Classification (CVPR 2010), by Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas Huang, and Yihong Gong [code]
Image Classification using Super-Vector Coding of Local Image Descriptors (ECCV 2010), by Xi Zhou, Kai Yu, Tong Zhang, and Thomas Huang
2. Papers
for further reference:
Efficient Highly Over-Complete Sparse Coding using a
Mixture Model (ECCV 2010), by
Jianchao Yang, Kai Yu, and Thomas Huang
Supervised Translation-Invariant Sparse Coding (CVPR
2010), by Jianchao
Yang, Kai Yu, and Thomas Huang [video] [slide]
Visual Classification with Multi-Task Joint Sparse
Representation (CVPR 2010), by
Xiao-Tong Yuan, Shuicheng Yan [video] [slide]
Classification
and Clustering via Dictionary Learning with Structured Incoherence and Shared
Features (CVPR 2010), by
Ignacio Ramirez, Pablo Sprechmann, Guillermo Sapiro [video] [slide]
3. Useful resources
Tutorial on Sparse
Coding and Dictionary Learning for Image Analysis, CVPR 2010
ICCV Tutorial on Sparse
Coding and Dictionary Learning for Image Analysis
by
Francis Bach (INRIA), Julien Mairal (INRIA), Jean Ponce (Ecole Normale
Supérieure), Guillermo Sapiro (University of Minnesota)
