
Sparse Coding
This page contains resources about Sparse Coding and Dictionary Learning .
Subfields and Concepts[edit]
- Method of Optimal Directions
- K-SVD
- Orthogonal Matching Pursuit
- Stochastic Gradient Descent
- Lagrange Dual Method
- Online Dictionary Learning
- Sparse Dictionary Learning
- Sparse Autoencoder
Online Courses[edit]
Video Lectures[edit]
- Online Dictionary Learning for Sparse Coding by Julien Mairal - VideoLectures.Net
- Compressive Sensing and Sparse Recovery by Justin Romberg (Youtube )
- Sparse Methods for Machine Learning: Theory and Algorithms by Francis R. Bach
- Lecture: Introduction to Sparse Modeling
Lecture Notes[edit]
- Compressive sensing and Sparse optimization by Aswin C Sankaranarayanan
- Sparse Coding by Ibrahim Almosallam
Lecture: Sparsity and Sparse Coding- Lecture: Dictionaries for Sparse Recovery
- Lecture: Higher Order Statistics
- Lecture: Why Sparse Coding Works
- Lecture: Visual Recognition, Learning Features
Books and Book Chapters[edit]
- Bengio, Y., Goodfellow, I. J., & Courville, A. (2016). "Section 13.4: Sparse Coding". Deep Learning. MIT Press.
- Hastie, T., Tibshirani, R., & Wainwright, M. (2015). "Chapter 8: Sparse Multivariate Methods". Statistical learning with sparsity: the lasso and generalizations. CRC Press.
- Rish, I., & Grabarnik, G. (2014). Sparse modeling: theory, algorithms, and applications. CRC Press.
- Northoff, G. (2013). Unlocking the Brain: Volume 1: Coding (Vol. 1). Oxford University Press.
- Murphy, K. P. (2012). "Chapter 13: Sparse linear models". Machine Learning: A Probabilistic Perspective. MIT Press.
Scholarly Articles[edit]
See also References .
- Zhang, H., & Xu, J. (2014). Sparse Coding on Multiple Manifold Data. In International Conference on Neural Information Processing (pp. 515-523). Springer International Publishing.
- Tosic, I., & Frossard, P. (2011). Dictionary Learning. IEEE Signal Processing Magazine, 28(2), 27-38.
- Mairal, J., Bach, F., Ponce, J., & Sapiro, G. (2010). Online learning for matrix factorization and sparse coding. Journal of Machine Learning Research,11(Jan), 19-60.
- Rubinstein, R., Bruckstein, A. M., & Elad, M. (2010). Dictionaries for sparse representation modeling. Proceedings of the IEEE, 98(6), 1045-1057.
- Rubinstein, R., Zibulevsky, M., & Elad, M. (2010). Double sparsity: Learning sparse dictionaries for sparse signal approximation. IEEE Transactions on signal processing, 58(3), 1553-1564.
- Gregor, K., & LeCun, Y. (2010). Learning fast approximations of sparse coding. In Proceedings of the 27th International Conference on Machine Learning (pp. 399-406).
- Mairal, J., Ponce, J., Sapiro, G., Zisserman, A., & Bach, F. R. (2009). Supervised dictionary learning. In Advances in Neural Information Processing Systems (pp. 1033-1040).
- Mairal, J., Bach, F., Ponce, J., & Sapiro, G. (2009). Online dictionary learning for sparse coding. In Proceedings of the 26th International Conference on Machine Learning (pp. 689-696).
- Rubinstein, R., Zibulevsky, M., & Elad, M. (2008). Efficient implementation of the K-SVD algorithm using batch orthogonal matching pursuit. Technical Report.
- Aharon, M., Elad, M., & Bruckstein, A. (2006). K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation. IEEE Transactions on Signal Processing, 54(11), 4311-4322.
- Hoyer, P. O. (2004). Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research, 5(Nov), 1457-1469.
Tutorials[edit]
- UFLDL Tutorial on Sparse Autoencoder
- Sparse Coding for Feature Learning
- Feature Encoding for Image Representation and Recognition (ICPR 2014)
- BASes for Images and Surfaces (CVPR 2014)
- Dictionary Learning in Games (GDC 2014)
- Dictionary Learning for Sparse Representations (ICASSP 2013)
- Sparse Coding (ICCV 2013)
- Sparse Coding (EECV 2012)
- Multiview Feature Learning (CVPR 2012)
- Sparse Coding (CVPR 2012)
- Topic Models, Latent Space Models, Sparse Coding, and All That (ACL 2012)
- Higher-order Feature Learning (DAGM 2011)
- Feature Learning for Image Classification (ECCV 2010)
- Sparse Coding and Dictionary Learning for Image Analysis (CVPR 2010)
- Sparse Coding and Dictionary Learning for Image Analysis (ICCV 2009)
- A Friendly Guide To Sparse Coding (2009)
Software[edit]
- Efficient sparse coding algorithms - MATLAB
- Dictionary Learning Tools - MATLAB
- KSVD/OMP- MATLAB
- Matlab codes for sparse coding
- SPArse Modeling Software (SPAMS) - Python and R
- Sparse Coding using the package scikit-learn - Python
- Sparse Coding using the package sciPy - Python
- Predictive Sparse Decomposition - Lush
- CAUSEWAY - using the CVX toolbox
See also[edit]
Other Resources[edit]
- Google, Baidu, Dwave Systems focused on Sparse Coding for more accurate image classification and unsupervised feature learning
- SMALL project - A EU-funded project on sparse models, algorithms and dictionary learning
- Sparse Coding - Metacademy
- Sparce Coding - Scholarpedia
- Sparse Dictionary Learning - Wikipedia
- Sparse Coding - Wikipedia
- Sparse Approximation - Wikipedia