Multi-view low-rank dictionary learning for image classification

[1]  Shiguang Shan,et al.  Multi-View Discriminant Analysis , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Svetha Venkatesh,et al.  Mixed-norm sparse representation for multi view face recognition , 2015, Pattern Recognit..

[3]  Zan Gao,et al.  Multi-view discriminative and structured dictionary learning with group sparsity for human action recognition , 2015, Signal Process..

[4]  Yun Fu,et al.  Low-Rank Common Subspace for Multi-view Learning , 2014, 2014 IEEE International Conference on Data Mining.

[5]  Ling Shao,et al.  Cross-Modality Submodular Dictionary Learning for Information Retrieval , 2014, CIKM.

[6]  Huawen Liu,et al.  Fisher discrimination based low rank matrix recovery for face recognition , 2014, Pattern Recognit..

[7]  Yun Fu,et al.  Learning low-rank and discriminative dictionary for image classification , 2014, Image Vis. Comput..

[8]  Xiao-Yuan Jing,et al.  Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition , 2014, AAAI.

[9]  Fakhri Karray,et al.  Multiview Supervised Dictionary Learning in Speech Emotion Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[10]  Quan-Sen Sun,et al.  Fractional-order embedding canonical correlation analysis and its applications to multi-view dimensionality reduction and recognition , 2014, Pattern Recognit..

[11]  Yuan Yan Tang,et al.  Multiview Hessian discriminative sparse coding for image annotation , 2013, Comput. Vis. Image Underst..

[12]  Rama Chellappa,et al.  Joint Sparse Representation for Robust Multimodal Biometrics Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Larry S. Davis,et al.  Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Mahmood Fathy,et al.  Multi-View Human Activity Recognition in Distributed Camera Sensor Networks , 2013, Sensors.

[15]  Yueting Zhuang,et al.  Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval , 2013, AAAI.

[16]  Yuhong Guo,et al.  Convex Subspace Representation Learning from Multi-View Data , 2013, AAAI.

[17]  Yinghuan Shi,et al.  Multimodal Sparse Representation-Based Classification for Lung Needle Biopsy Images , 2013, IEEE Transactions on Biomedical Engineering.

[18]  Dacheng Tao,et al.  A Survey on Multi-view Learning , 2013, ArXiv.

[19]  Mark D. Plumbley,et al.  Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations , 2013, IEEE Transactions on Signal Processing.

[20]  G. Sapiro,et al.  A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. , 2013, Journal of structural biology.

[21]  Zhang Yi,et al.  Collaborative neighbor representation based classification using l2-minimization approach , 2013, Pattern Recognit. Lett..

[22]  Larry S. Davis,et al.  Discriminative Tensor Sparse Coding for Image Classification , 2013, BMVC.

[23]  Hongbin Zha,et al.  Incoherent dictionary learning for sparse representation , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[24]  Roland Memisevic,et al.  On multi-view feature learning , 2012, ICML.

[25]  Chunheng Wang,et al.  Sparse representation for face recognition based on discriminative low-rank dictionary learning , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Yu-Chiang Frank Wang,et al.  Low-rank matrix recovery with structural incoherence for robust face recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[27]  Thomas S. Huang,et al.  Joint dynamic sparse representation for multi-view face recognition , 2012, Pattern Recognit..

[28]  Hal Daumé,et al.  Co-regularized Multi-view Spectral Clustering , 2011, NIPS.

[29]  Dean P. Foster,et al.  Multi-View Learning of Word Embeddings via CCA , 2011, NIPS.

[30]  Kaiqi Huang,et al.  Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity , 2011, ICONIP.

[31]  David Zhang,et al.  Fisher Discrimination Dictionary Learning for sparse representation , 2011, 2011 International Conference on Computer Vision.

[32]  Lei Zhang,et al.  Sparse representation or collaborative representation: Which helps face recognition? , 2011, 2011 International Conference on Computer Vision.

[33]  Hal Daumé,et al.  A Co-training Approach for Multi-view Spectral Clustering , 2011, ICML.

[34]  Pascal Frossard,et al.  Dictionary Learning for Stereo Image Representation , 2011, IEEE Transactions on Image Processing.

[35]  Yi Ma,et al.  Robust principal component analysis? , 2009, JACM.

[36]  Pablo A. Parrilo,et al.  Rank-Sparsity Incoherence for Matrix Decomposition , 2009, SIAM J. Optim..

[37]  Yi Ma,et al.  The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.

[38]  Yong Yu,et al.  Robust Subspace Segmentation by Low-Rank Representation , 2010, ICML.

[39]  Guillermo Sapiro,et al.  Classification and clustering via dictionary learning with structured incoherence and shared features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[40]  J. Shawe-Taylor,et al.  Multi-View Canonical Correlation Analysis , 2010 .

[41]  Arvind Ganesh,et al.  Fast algorithms for recovering a corrupted low-rank matrix , 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[42]  Lorenzo Rosasco,et al.  Iterative Projection Methods for Structured Sparsity Regularization , 2009 .

[43]  Yihong Gong,et al.  Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[44]  Allen Y. Yang,et al.  Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[45]  Emmanuel J. Candès,et al.  Exact Matrix Completion via Convex Optimization , 2008, Found. Comput. Math..

[46]  Pierre Vandergheynst,et al.  Learning Multimodal Dictionaries , 2007, IEEE Transactions on Image Processing.

[47]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[48]  Jiawei Han,et al.  Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.

[49]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[50]  A. Bruckstein,et al.  K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .

[51]  Hiroshi Murase,et al.  Visual learning and recognition of 3-d objects from appearance , 2005, International Journal of Computer Vision.

[52]  Joel A. Tropp,et al.  Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.

[53]  Bruce A. Draper,et al.  Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures , 2003 .

[54]  Nicolai Petkov,et al.  Comparison of texture features based on Gabor filters , 1999, Proceedings 10th International Conference on Image Analysis and Processing.

[55]  Kjersti Engan,et al.  Method of optimal directions for frame design , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[56]  A. Martínez,et al.  The AR face databasae , 1998 .

[57]  Aleix M. Martinez,et al.  The AR face database , 1998 .

[58]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[59]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[60]  Dimitri P. Bertsekas,et al.  Constrained Optimization and Lagrange Multiplier Methods , 1982 .

[61]  G. Golub,et al.  A Hessenberg-Schur method for the problem AX + XB= C , 1979 .

[62]  Keinosuke Fukunaga,et al.  Application of the Karhunen-Loève Expansion to Feature Selection and Ordering , 1970, IEEE Trans. Computers.

[63]  R. A. Smith Matrix Equation $XA + BX = C$ , 1968 .