Image Classification

SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013 Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback CVPR 2013 Sparse Output Coding for Large-Scale Visual Recognition CVPR 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Vantage Feature Frames for Fine-Grained Categorization CVPR 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 Large-Scale Category Structure Aware Image Categorization NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Matrix Completion for Multi-label Image Classification NeurIPS 2011 Maximum Margin Multi-Instance Learning NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010