Processing

Maximin affinity learning of image segmentation NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Bayesian Texture Learning and Synthesis NeurIPS 2009 Region-based Segmentation and Object Detection NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Segmenting Scenes by Matching Image Composites NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Unsupervised feature learning for audio classification using convolutional deep belief networks NeurIPS 2009 Grouping Contours Via a Related Image NeurIPS 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Multi-Level Active Prediction of Useful Image Annotations for Recognition NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008 Natural Image Denoising with Convolutional Networks NeurIPS 2008 Non-parametric Regression Between Manifolds NeurIPS 2008 On the Suitable Domain for SVM Training in Image Coding JMLR 2008 Recursive Segmentation and Recognition Templates for 2D Parsing NeurIPS 2008 Regularization on Graphs with Function-adapted Diffusion Processes JMLR 2008 Shape-Based Object Localization for Descriptive Classification NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Fast Iterative Kernel Principal Component Analysis JMLR 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Local Discriminant Wavelet Packet Coordinates for Face Recognition JMLR 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007