Variational Relevance Vector Machine for Tabular Data
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Dmitry Kropotov | Tal Hassner | Lior Wolf | Dmitry P. Vetrov | Lior Wolf | Tal Hassner | D. Vetrov | D. Kropotov
[1] Christopher M. Bishop,et al. Variational Relevance Vector Machines , 2000, UAI.
[2] Gavin C. Cawley,et al. Gene Selection in Cancer Classification using Sparse Logistic Regression with Bayesian Regularisation , 2006 .
[3] Jieping Ye,et al. Two-Dimensional Linear Discriminant Analysis , 2004, NIPS.
[4] C. Schmid,et al. Description of Interest Regions with Center-Symmetric Local Binary Patterns , 2006, ICVGIP.
[5] Alejandro F. Frangi,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .
[6] Yaniv Taigman,et al. Descriptor Based Methods in the Wild , 2008 .
[7] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.
[8] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[9] Lior Wolf,et al. Modeling Appearances with Low-Rank SVM , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Shuicheng Yan,et al. Coupled Subspaces Analysis , 2004 .
[11] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[12] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[13] Tom Minka,et al. Expectation Propagation for approximate Bayesian inference , 2001, UAI.
[14] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[15] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[16] Matti Pietikäinen,et al. A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification , 2001, ICAPR.
[17] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[18] Michael I. Jordan,et al. Bayesian parameter estimation through variational methods , 2008 .
[19] Peter M. Williams,et al. Bayesian Regularization and Pruning Using a Laplace Prior , 1995, Neural Computation.
[20] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[21] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[22] Yuan Qi,et al. Predictive automatic relevance determination by expectation propagation , 2004, ICML.
[23] Lei Zhang,et al. Feature extraction based on Laplacian bidirectional maximum margin criterion , 2009, Pattern Recognit..
[24] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[25] Ming Li,et al. 2D-LDA: A statistical linear discriminant analysis for image matrix , 2005, Pattern Recognit. Lett..