Representation Learning

Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007 Discriminative Keyword Selection Using Support Vector Machines NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Fast Iterative Kernel Principal Component Analysis JMLR 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 GRIFT: A graphical model for inferring visual classification features from human data NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 "Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning omnidirectional path following using dimensionality reduction RSS 2007 Learning the 2-D Topology of Images NeurIPS 2007 Learning the structure of manifolds using random projections NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007