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Fast Sparse Representation with Prototypes (CVPR 2010)
This project forked from jbhuang0604/fastsc
Fast Sparse Representation with Prototypes (CVPR 2010)
This is a sample implementation of the method in CVPR paper: Reference: Jia-Bin Huang and Ming-Hsuan Yang, "Fast Sparse Representation with Prototypes.", the 23th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 10'), San Francisco, CA, USA, June 2010. Contact: For any questions, email me by [email protected] Directories=============================================== /tools/ This directory contains the tools that you can use in solving sparse coding and dicitonary learning. /tools/sparse coding/ This directory contains several sparse coding algorithms, including 1. l1magic http://www.acm.caltech.edu/l1magic/ 2. SparseLab http://sparselab.stanford.edu/ 3. Efficient sparse coding http://www.stanford.edu/~hllee/softwares/nips06-sparsecoding.htm 4. YALL1: Your ALgorithms for L1 http://www.caam.rice.edu/~optimization/L1/YALL1/ 5. Smoothed L0 http://ee.sharif.edu/~SLzero/ /tools/dictionary learning/ This directory contains the K-SVD toolbox http://www.cs.technion.ac.il/~elad/software/ Usage=============================================== 1. Open run_sparsity_based_classification.m 2. Specify one sparse coding method (default: l1magic) 3. Specify one dataset your want to test (default: the extended Yale database B) 4. Run the script Parameters=============================================== Contact Any comments or questions, please contact Feedback and comments are welcome. Jia-Bin Huang ([email protected]) Ming-Hsuan Yang ([email protected])
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