feature learning

Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 A Humanlike Predictor of Facial Attractiveness NeurIPS 2006 Clustering appearance and shape by learning jigsaws NeurIPS 2006 Efficient Learning of Sparse Representations with an Energy-Based Model NeurIPS 2006 Efficient sparse coding algorithms NeurIPS 2006 Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006 Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Greedy Layer-Wise Training of Deep Networks NeurIPS 2006 Learning Dense 3D Correspondence NeurIPS 2006 Learning to parse images of articulated bodies NeurIPS 2006 Learning with Hypergraphs: Clustering, Classification, and Embedding NeurIPS 2006 Max-margin classification of incomplete data NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 Nonnegative Sparse PCA NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Sparse Representation for Signal Classification NeurIPS 2006 Unsupervised Regression with Applications to Nonlinear System Identification NeurIPS 2006 Learning with Decision Lists of Data-Dependent Features JMLR 2005 Benefitting from the Variables that Variable Selection Discards JMLR 2003