Discriminative learned dictionaries for local image analysis
暂无分享,去创建一个
Guillermo Sapiro | Jean Ponce | Andrew Zisserman | Julien Mairal | Francis R. Bach | F. Bach | J. Ponce | Andrew Zisserman | G. Sapiro | J. Mairal
[1] D. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .
[2] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[3] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[4] S. Mallat. A wavelet tour of signal processing , 1998 .
[5] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Kjersti Engan,et al. Frame based signal compression using method of optimal directions (MOD) , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).
[7] Matti Pietikäinen,et al. Texture Classification by Multi-Predicate Local Binary Pattern Operators , 2000, ICPR.
[8] M. Topi,et al. Texture classification by multi-predicate local binary pattern operators , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[9] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Michael S. Lewicki,et al. Unsupervised image classification, segmentation, and enhancement using ICA mixture models , 2002, IEEE Trans. Image Process..
[11] Brendan J. Frey,et al. Epitomic analysis of appearance and shape , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[12] Andrew Zisserman,et al. Texture classification: are filter banks necessary? , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[13] Vladimir Kolmogorov,et al. What energy functions can be minimized via graph cuts? , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Jitendra Malik,et al. Contour and Texture Analysis for Image Segmentation , 2001, International Journal of Computer Vision.
[15] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[16] R. Zabih,et al. What energy functions can be minimized via graph cuts , 2004 .
[17] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[18] Antonio Criminisi,et al. Object categorization by learned universal visual dictionary , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[19] Michael J. Black,et al. Fields of Experts: a framework for learning image priors , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[20] Axel Pinz,et al. Object Localization with Boosting and Weak Supervision for Generic Object Recognition , 2005, SCIA.
[21] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[22] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[23] Ke Huang,et al. Sparse Representation for Signal Classification , 2006, NIPS.
[24] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[25] Antonio Criminisi,et al. Single-Histogram Class Models for Image Segmentation , 2006, ICVGIP.
[26] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[27] Ankur Agarwal,et al. Hyperfeatures - Multilevel Local Coding for Visual Recognition , 2006, ECCV.
[28] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[29] Cordelia Schmid,et al. Combining Regions and Patches for Object Class Localization , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[30] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[31] Antonio Criminisi,et al. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation , 2006, ECCV.
[32] Karl Skretting,et al. Texture Classification Using Sparse Frame-Based Representations , 2006, EURASIP J. Adv. Signal Process..
[33] Roger B. Grosse,et al. Shift-Invariance Sparse Coding for Audio Classification , 2007, UAI.
[34] Cordelia Schmid,et al. Vector Quantizing Feature Space with a Regular Lattice , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[35] John M. Winn,et al. Hybrid learning of large jigsaws , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Giovanni Motta,et al. Texture Classification Based on Discriminative Features Extracted in the Frequency Domain , 2007, 2007 IEEE International Conference on Image Processing.
[37] Allen Y. Yang,et al. Feature Selection in Face Recognition: A Sparse Representation Perspective , 2007 .
[38] William T. Freeman,et al. What makes a good model of natural images? , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Michael Elad,et al. Multiscale Sparse Image Representationwith Learned Dictionaries , 2007, 2007 IEEE International Conference on Image Processing.
[40] Marc'Aurelio Ranzato,et al. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[42] Zihan Zhou,et al. Demo: Robust face recognition via sparse representation , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[43] Gabriel Peyré,et al. Sparse Modeling of Textures , 2009, Journal of Mathematical Imaging and Vision.
[44] Svetlana Lazebnik,et al. Supervised Learning of Quantizer Codebooks by Information Loss Minimization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.