Dictionary Learning
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[1] Rama Chellappa,et al. Kernel dictionary learning , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[2] Rémi Gribonval,et al. Sparse representations in unions of bases , 2003, IEEE Trans. Inf. Theory.
[3] W. Clem Karl,et al. Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization , 2001, IEEE Trans. Image Process..
[4] Pascal Frossard,et al. Dictionary Learning for Stereo Image Representation , 2011, IEEE Transactions on Image Processing.
[5] Wai Lam Chan,et al. A single-pixel terahertz imaging system based on compressed sensing , 2008 .
[6] Jared Tanner,et al. Phase Transitions for Greedy Sparse Approximation Algorithms , 2010, ArXiv.
[7] Richard G. Baraniuk,et al. An Architecture for Compressive Imaging , 2006, 2006 International Conference on Image Processing.
[8] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[9] Rama Chellappa,et al. Dictionary-Based Face Recognition from Video , 2012, ECCV.
[10] Rama Chellappa,et al. Object Detection, Tracking and Recognition for Multiple Smart Cameras , 2008, Proceedings of the IEEE.
[11] Mike E. Davies,et al. Parametric Dictionary Design for Sparse Coding , 2009, IEEE Transactions on Signal Processing.
[12] S. Mallat. VI – Wavelet zoom , 1999 .
[13] Yaakov Tsaig,et al. Breakdown of equivalence between the minimal l1-norm solution and the sparsest solution , 2006, Signal Process..
[14] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[15] Libor Masek,et al. MATLAB Source Code for a Biometric Identification System Based on Iris Patterns , 2003 .
[16] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[17] Craig K. Abbey,et al. Higher-order scene statistics of breast images , 2009, Medical Imaging.
[18] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[19] J. Wade Davis,et al. Statistical Pattern Recognition , 2003, Technometrics.
[20] Ramesh Raskar,et al. Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] N. Hamano,et al. Digital processing of synthetic aperture radar data , 1984 .
[22] Stephen P. Boyd,et al. Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.
[23] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[24] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[25] Volkan Cevher,et al. Compressed sensing for multi-view tracking and 3-D voxel reconstruction , 2008, 2008 15th IEEE International Conference on Image Processing.
[26] Junfeng Yang,et al. A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data , 2010, IEEE Journal of Selected Topics in Signal Processing.
[27] Rama Chellappa,et al. Sparsity-motivated automatic target recognition. , 2011, Applied optics.
[28] Rama Chellappa,et al. Joint Sparsity-Based Robust Multimodal Biometrics Recognition , 2012, ECCV Workshops.
[29] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[30] Rama Chellappa,et al. Synthesis-based recognition of low resolution faces , 2011, 2011 International Joint Conference on Biometrics (IJCB).
[31] David R. Bull,et al. Projective image restoration using sparsity regularization , 2013, 2013 IEEE International Conference on Image Processing.
[32] W. Carrara,et al. Spotlight synthetic aperture radar : signal processing algorithms , 1995 .
[33] Michael P. Friedlander,et al. Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..
[34] Rémi Gribonval,et al. Sparse Representations in Audio and Music: From Coding to Source Separation , 2010, Proceedings of the IEEE.
[35] Hao Ling,et al. Time-Frequency Transforms for Radar Imaging and Signal Analysis , 2002 .
[36] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[37] Rama Chellappa,et al. Automatic target recognition based on simultaneous sparse representation , 2010, 2010 IEEE International Conference on Image Processing.
[38] Pierre Vandergheynst,et al. Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[39] Rama Chellappa,et al. Sparse Representations, Compressive Sensing and dictionaries for pattern recognition , 2011, The First Asian Conference on Pattern Recognition.
[40] Junfeng Yang,et al. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction , 2008, SIAM J. Imaging Sci..
[41] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[42] Kjersti Engan,et al. Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation , 2007, Digit. Signal Process..
[43] Stephen J. Wright,et al. Computational Methods for Sparse Solution of Linear Inverse Problems , 2010, Proceedings of the IEEE.
[44] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[45] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[46] J. Tropp,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, Commun. ACM.
[47] Mike E. Davies,et al. Gradient Pursuits , 2008, IEEE Transactions on Signal Processing.
[48] Wotao Yin,et al. EdgeCS: edge guided compressive sensing reconstruction , 2010, Visual Communications and Image Processing.
[49] Trac D. Tran,et al. Robust multi-sensor classification via joint sparse representation , 2011, 14th International Conference on Information Fusion.
[50] David M. Bradley,et al. Differentiable Sparse Coding , 2008, NIPS.
[51] 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.
[52] T. Blumensath,et al. Iterative Thresholding for Sparse Approximations , 2008 .
[53] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[54] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[55] Rama Chellappa,et al. Direct Analytical Methods for Solving Poisson Equations in Computer Vision Problems , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[56] P. Bühlmann,et al. The group lasso for logistic regression , 2008 .
[57] Rama Chellappa,et al. P2C2: Programmable pixel compressive camera for high speed imaging , 2011, CVPR 2011.
[58] M. Lustig,et al. Compressed Sensing MRI , 2008, IEEE Signal Processing Magazine.
[59] Orges Furxhi,et al. Compressive sensing for a sub-millimeter-wave single pixel imager , 2011, Defense + Commercial Sensing.
[60] Bhaskar D. Rao,et al. Sparse Bayesian learning for basis selection , 2004, IEEE Transactions on Signal Processing.
[61] Trac D. Tran,et al. Hyperspectral Image Classification via Kernel Sparse Representation , 2013, IEEE Trans. Geosci. Remote. Sens..
[62] J. Tropp. Algorithms for simultaneous sparse approximation. Part II: Convex relaxation , 2006, Signal Process..
[63] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[64] Volkan Cevher,et al. Compressive Sensing for Background Subtraction , 2008, ECCV.
[65] Rama Chellappa,et al. Sparse dictionary-based representation and recognition of action attributes , 2011, 2011 International Conference on Computer Vision.
[66] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[67] Mark D. Plumbley. Dictionary Learning for L1-Exact Sparse Coding , 2007, ICA.
[68] Arun Ross,et al. Handbook of Multibiometrics , 2006, The Kluwer international series on biometrics.
[69] Ting Sun,et al. Single-pixel imaging via compressive sampling , 2008, IEEE Signal Process. Mag..
[70] Rama Chellappa,et al. Unsupervised view and rate invariant clustering of video sequences q , 2009 .
[71] Yonina C. Eldar,et al. Structured Compressed Sensing: From Theory to Applications , 2011, IEEE Transactions on Signal Processing.
[72] Bruno A. Olshausen,et al. Bilinear models of natural images , 2007, Electronic Imaging.
[73] Damon L. Woodard,et al. Non-ideal iris segmentation using graph cuts , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[74] Rama Chellappa,et al. Compressed Synthetic Aperture Radar , 2010, IEEE Journal of Selected Topics in Signal Processing.
[75] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[76] Emmanuel J. Candès,et al. Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions , 2004, Found. Comput. Math..
[77] Pawan Sinha,et al. Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About , 2006, Proceedings of the IEEE.
[78] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[79] Armando Manduca,et al. Highly Undersampled Magnetic Resonance Image Reconstruction via Homotopic $\ell_{0}$ -Minimization , 2009, IEEE Transactions on Medical Imaging.
[80] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[81] Joel A. Tropp,et al. Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..
[82] Yaakov Tsaig,et al. Recent advances in sparsity-driven signal recovery , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[83] John Daugman. How iris recognition works , 2004 .
[84] Guillermo Sapiro,et al. Discriminative learned dictionaries for local image analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[85] Rama Chellappa,et al. A Method for Enforcing Integrability in Shape from Shading Algorithms , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[86] Rama Chellappa,et al. Compressed sensing for Synthetic Aperture Radar imaging , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[87] Pascal Frossard,et al. Ultrasound tomography with learned dictionaries , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[88] Joseph F. Murray,et al. Dictionary Learning Algorithms for Sparse Representation , 2003, Neural Computation.
[89] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[90] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[91] David L. Donoho,et al. High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension , 2006, Discret. Comput. Geom..
[92] Mike E. Davies,et al. Dictionary Learning for Sparse Approximations With the Majorization Method , 2009, IEEE Transactions on Signal Processing.
[93] Rama Chellappa,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Matching Shape Sequences in Video with Applications in Human Movement Analysis. Ieee Transactions on Pattern Analysis and Machine Intelligence 2 , 2022 .
[94] L. Yujiri,et al. Passive Millimeter Wave Imaging , 2003, 2006 IEEE MTT-S International Microwave Symposium Digest.
[95] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[96] Stephen P. Boyd,et al. An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares , 2007, IEEE Journal of Selected Topics in Signal Processing.
[97] Mário A. T. Figueiredo,et al. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.
[98] Ke Huang,et al. Sparse Representation for Signal Classification , 2006, NIPS.
[99] M. Rudelson,et al. On sparse reconstruction from Fourier and Gaussian measurements , 2008 .
[100] P. Tseng. Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization , 2001 .
[101] Bruno A. Olshausen,et al. Learning real and complex overcomplete representations from the statistics of natural images , 2009, Optical Engineering + Applications.
[102] Justin Romberg,et al. Practical Signal Recovery from Random Projections , 2005 .
[103] 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.
[104] Lawrence Carin,et al. Sparse multinomial logistic regression: fast algorithms and generalization bounds , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[105] David L. Donoho,et al. Sparse Solution Of Underdetermined Linear Equations By Stagewise Orthogonal Matching Pursuit , 2006 .
[106] R. Chellappa,et al. Optimal Multi-View Fusion of Object Locations , 2008, 2008 IEEE Workshop on Motion and video Computing.
[107] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[108] Andy M. Yip,et al. Recent Developments in Total Variation Image Restoration , 2004 .
[109] Namrata Vaswani,et al. Kalman filtered Compressed Sensing , 2008, 2008 15th IEEE International Conference on Image Processing.
[110] Peter Kovesi,et al. Shapelets correlated with surface normals produce surfaces , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[111] Rama Chellappa,et al. Design of Non-Linear Discriminative Dictionaries for Image Classification , 2012, ACCV.
[112] E R Dowski,et al. Realizations of focus invariance in optical-digital systems with wave-front coding. , 1997, Applied optics.
[113] Mehrdad Soumekh,et al. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms , 1999 .
[114] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[115] Aggelos K. Katsaggelos,et al. Compressive sampling in passive millimeter-wave imaging , 2011, Defense + Commercial Sensing.
[116] Pieter Peers,et al. Compressive light transport sensing , 2009, ACM Trans. Graph..
[117] Emmanuel J. Candès,et al. Signal recovery from random projections , 2005, IS&T/SPIE Electronic Imaging.
[118] Rama Chellappa,et al. Enforcing integrability by error correction using l1-minimization , 2009, CVPR.
[119] Rama Chellappa,et al. Separability-based multiscale basis selection and feature extraction for signal and image classification , 1998, IEEE Trans. Image Process..
[120] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[121] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[122] J.N. Mait,et al. 94-GHz Imager With Extended Depth of Field , 2009, IEEE Transactions on Antennas and Propagation.
[123] Stefano Tubaro,et al. Joint Compressive Video Coding and Analysis , 2010, IEEE Transactions on Multimedia.
[124] Bhaskar D. Rao,et al. Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm , 1997, IEEE Trans. Signal Process..
[125] Pierre Vandergheynst,et al. Shift-invariant dictionary learning for sparse representations: Extending K-SVD , 2008, 2008 16th European Signal Processing Conference.
[126] Rama Chellappa,et al. Learning discriminative dictionaries with partially labeled data , 2012, 2012 19th IEEE International Conference on Image Processing.
[127] Pascal Frossard,et al. Semantic Coding by Supervised Dimensionality Reduction , 2008, IEEE Transactions on Multimedia.
[128] D. Munson,et al. A tomographic formulation of spotlight-mode synthetic aperture radar , 1983, Proceedings of the IEEE.
[129] Arian Maleki,et al. Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing , 2009, IEEE Journal of Selected Topics in Signal Processing.
[130] R. N. Anderton,et al. Millimeter-Wave and Submillimeter-Wave Imaging for Security and Surveillance , 2007, Proceedings of the IEEE.
[131] Rama Chellappa,et al. Gradient-Based Image Recovery Methods From Incomplete Fourier Measurements , 2012, IEEE Transactions on Image Processing.
[132] Stephen J. Wright,et al. Sparse reconstruction by separable approximation , 2009, IEEE Trans. Signal Process..
[133] Donald Goldfarb,et al. Second-order cone programming , 2003, Math. Program..
[134] Rama Chellappa,et al. Adaptive rate compressive sensing for background subtraction , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[135] Edward R. Dowski,et al. A New Paradigm for Imaging Systems , 2002, PICS.
[136] Stefano Soatto,et al. Dynamic Textures , 2003, International Journal of Computer Vision.
[137] Damiana Lazzaro,et al. Nonlinear Filtering for Sparse Signal Recovery From Incomplete Measurements , 2009, IEEE Transactions on Signal Processing.
[138] Bruno A. Olshausen,et al. Learning Transformational Invariants from Time-Varying Natural Images , 2008, NIPS 2008.
[139] Rama Chellappa,et al. Compressive Acquisition of Dynamic Scenes , 2010, ECCV.
[140] Aggelos K. Katsaggelos,et al. Compressive passive millimeter-wave imaging , 2011, 2011 18th IEEE International Conference on Image Processing.
[141] Mark D. Plumbley,et al. Speech denoising based on a greedy adaptive dictionary algorithm , 2009, 2009 17th European Signal Processing Conference.
[142] H. B. Barlow,et al. Possible Principles Underlying the Transformations of Sensory Messages , 2012 .
[143] Richard G Baraniuk,et al. More Is Less: Signal Processing and the Data Deluge , 2011, Science.
[144] R. M. Willett,et al. Compressed sensing for practical optical imaging systems: A tutorial , 2011, IEEE Photonics Conference 2012.
[145] Deanna Needell,et al. Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit , 2007, IEEE Journal of Selected Topics in Signal Processing.
[146] Rama Chellappa,et al. Sparsity inspired selection and recognition of iris images , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.
[147] José M. Bioucas-Dias,et al. A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration , 2007, IEEE Transactions on Image Processing.
[148] Pierre Vandergheynst,et al. Learning Bimodal Structure in Audio–Visual Data , 2009, IEEE Transactions on Neural Networks.
[149] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[150] Joseph N. Mait,et al. Sparse Fourier Sampling in Millimeter-Wave Compressive Holography , 2010 .
[151] 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).
[152] Michael Elad,et al. Dictionaries for Sparse Representation Modeling , 2010, Proceedings of the IEEE.
[153] Liang-Tien Chia,et al. Kernel Sparse Representation for Image Classification and Face Recognition , 2010, ECCV.
[154] Ting Wang,et al. Kernel Sparse Representation-Based Classifier , 2012, IEEE Transactions on Signal Processing.
[155] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[156] Yaakov Tsaig,et al. Extensions of compressed sensing , 2006, Signal Process..
[157] Joseph N Mait,et al. Millimeter-wave compressive holography. , 2010, Applied optics.
[158] David L. Donoho,et al. Precise Undersampling Theorems , 2010, Proceedings of the IEEE.
[159] Rick Chartrand,et al. Exact Reconstruction of Sparse Signals via Nonconvex Minimization , 2007, IEEE Signal Processing Letters.
[160] Rama Chellappa,et al. Dictionary-Based Face Recognition Under Variable Lighting and Pose , 2012, IEEE Transactions on Information Forensics and Security.
[161] Shuicheng Yan,et al. Visual classification with multi-task joint sparse representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[162] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[163] W. Cathey,et al. Extended depth of field through wave-front coding. , 1995, Applied optics.
[164] David Zhang,et al. Fisher Discrimination Dictionary Learning for sparse representation , 2011, 2011 International Conference on Computer Vision.
[165] Bernhard Schölkopf,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[166] 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).
[167] Vishal M. Patel,et al. Passive millimeter-wave imaging with extended depth of field and sparse data , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[168] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[169] Bruno A. Olshausen,et al. Learning Sparse Multiscale Image Representations , 2002, NIPS.
[170] Mike E. Davies,et al. Iterative Hard Thresholding for Compressed Sensing , 2008, ArXiv.
[171] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[172] J. Goodman. Introduction to Fourier optics , 1969 .
[173] Francesca Odone,et al. A Sparsity-Enforcing Method for Learning Face Features , 2009, IEEE Transactions on Image Processing.
[174] Larry S. Davis,et al. Learning a discriminative dictionary for sparse coding via label consistent K-SVD , 2011, CVPR 2011.
[175] Nuno Vasconcelos,et al. Probabilistic kernels for the classification of auto-regressive visual processes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[176] Avideh Zakhor,et al. Dictionary design for matching pursuit and application to motion-compensated video coding , 2004, IEEE Transactions on Circuits and Systems for Video Technology.
[177] L. Carin,et al. Compressive particle filtering for target tracking , 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.
[178] Rama Chellappa,et al. Secure and Robust Iris Recognition Using Random Projections and Sparse Representations , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[179] Sharath Pankanti,et al. Filterbank-based fingerprint matching , 2000, IEEE Trans. Image Process..
[180] Vishal M. Patel,et al. Compressive passive millimeter wave imaging with extended depth of field , 2012 .
[181] 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..
[182] Guillermo Sapiro,et al. Sparse representations for image classification: learning discriminative and reconstructive non-parametric dictionaries , 2008 .
[183] Rajesh P. N. Rao,et al. Bilinear Sparse Coding for Invariant Vision , 2005, Neural Computation.
[184] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[185] Pierre Vandergheynst,et al. A union of incoherent spaces model for classification , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[186] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[187] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[188] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .