Fast and Robust Archetypal Analysis for Representation Learning
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Zaïd Harchaoui | Julien Mairal | Yuansi Chen | Z. Harchaoui | J. Mairal | Yuansi Chen | Zaïd Harchaoui
[1] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[2] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[3] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[4] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[5] D. Hunter,et al. Optimization Transfer Using Surrogate Objective Functions , 2000 .
[6] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[7] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[8] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[9] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[10] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[11] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] C. Ji. An Archetypal Analysis on , 2005 .
[13] 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).
[14] P. Groenen,et al. Nearest convex hull classification , 2006 .
[15] 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.
[16] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Yihong Gong,et al. Nonlinear Learning using Local Coordinate Coding , 2009, NIPS.
[18] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.
[20] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[21] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[22] 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.
[23] F. Bach,et al. Optimization with Sparsity-Inducing Penalties (Foundations and Trends(R) in Machine Learning) , 2011 .
[24] Julien Mairal,et al. Optimization with Sparsity-Inducing Penalties , 2011, Found. Trends Mach. Learn..
[25] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Stéphane Mallat,et al. Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity , 2010, IEEE Transactions on Image Processing.
[27] Alexei A. Efros,et al. What makes Paris look like Paris? , 2015, Commun. ACM.
[28] Guillermo Sapiro,et al. See all by looking at a few: Sparse modeling for finding representative objects , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[29] K. Schittkowski,et al. NONLINEAR PROGRAMMING , 2022 .