Representation Learning

Generalised Coupled Tensor Factorisation NeurIPS 2011 Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Kernel Analysis of Deep Networks JMLR 2011 Kernel Bayes' Rule NeurIPS 2011 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 Learning Anchor Planes for Classification NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NeurIPS 2011 Learning Latent Tree Graphical Models JMLR 2011 Learning low-rank output kernels ACML 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NeurIPS 2011 Learning Scale Free Networks by Reweighted ℓ_1 regularization AISTATS 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Learning with Structured Sparsity JMLR 2011 Learning with the weighted trace-norm under arbitrary sampling distributions NeurIPS 2011 Locally Defined Principal Curves and Surfaces JMLR 2011 Machine Learning Markets AISTATS 2011 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011