feature learning

Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014 To go deep or wide in learning? AISTATS 2014 Towards Good Practices for Action Video Encoding CVPR 2014 Transformation Pursuit for Image Classification CVPR 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 When 3D Reconstruction Meets Ubiquitous RGB-D Images CVPR 2014 A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Boosting Binary Keypoint Descriptors CVPR 2013 Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013 Compete to Compute NeurIPS 2013 Compressive Feature Learning NeurIPS 2013 Detection Evolution with Multi-order Contextual Co-occurrence CVPR 2013 Discriminative Re-ranking of Diverse Segmentations CVPR 2013 Domain Generalization via Invariant Feature Representation ICML 2013 Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis CVPR 2013 Exploring Implicit Image Statistics for Visual Representativeness Modeling CVPR 2013 Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition ICCV 2013 Histograms of Sparse Codes for Object Detection CVPR 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions CVPR 2013 Latent Multitask Learning for View-Invariant Action Recognition ICCV 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning Collections of Part Models for Object Recognition CVPR 2013