Information-Theoretic Dictionary Learning for Image Classification
暂无分享,去创建一个
[1] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[2] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Guillermo Sapiro,et al. Sparse representations for image classification: learning discriminative and reconstructive non-parametric dictionaries , 2008 .
[4] Rama Chellappa,et al. Sparse dictionary-based representation and recognition of action attributes , 2011, 2011 International Conference on Computer Vision.
[5] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[6] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[7] Ke Huang,et al. Sparse Representation for Signal Classification , 2006, NIPS.
[8] Joel A. Tropp,et al. Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..
[9] Guillermo Sapiro,et al. Discriminative learned dictionaries for local image analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Jagat Narain Kapur,et al. Measures of information and their applications , 1994 .
[12] Pascal Frossard,et al. Semantic Coding by Supervised Dimensionality Reduction , 2008, IEEE Transactions on Multimedia.
[13] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[14] Kari Torkkola,et al. Feature Extraction by Non-Parametric Mutual Information Maximization , 2003, J. Mach. Learn. Res..
[15] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[17] Michael Elad,et al. On the Role of Sparse and Redundant Representations in Image Processing , 2010, Proceedings of the IEEE.
[18] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[20] Michael Elad,et al. Dictionaries for Sparse Representation Modeling , 2010, Proceedings of the IEEE.
[21] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[22] Larry S. Davis,et al. Learning a discriminative dictionary for sparse coding via label consistent K-SVD , 2011, CVPR 2011.
[23] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Baoxin Li,et al. Discriminative K-SVD for dictionary learning in face recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[25] Rama Chellappa,et al. Dictionary-Based Face Recognition Under Variable Lighting and Pose , 2012, IEEE Transactions on Information Forensics and Security.
[26] David Zhang,et al. Fisher Discrimination Dictionary Learning for sparse representation , 2011, 2011 International Conference on Computer Vision.
[27] Martin E. Hellman,et al. Probability of error, equivocation, and the Chernoff bound , 1970, IEEE Trans. Inf. Theory.
[28] Rama Chellappa,et al. Sparse Representations, Compressive Sensing and dictionaries for pattern recognition , 2011, The First Asian Conference on Pattern Recognition.
[29] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[30] Cor J. Veenman,et al. Kernel Codebooks for Scene Categorization , 2008, ECCV.
[31] KrauseAndreas,et al. Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies , 2008 .
[32] Andreas Krause,et al. Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies , 2008, J. Mach. Learn. Res..
[33] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[34] Rama Chellappa,et al. Separability-based multiscale basis selection and feature extraction for signal and image classification , 1998, IEEE Trans. Image Process..
[35] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.