Feature Learning

ACTIVE: Activity Concept Transitions in Video Event Classification ICCV 2013 A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding ICCV 2013 A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013 Anchored Neighborhood Regression for Fast Example-Based Super-Resolution ICCV 2013 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification CVPR 2013 Blind Signal Separation in the Presence of Gaussian Noise COLT 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Codemaps - Segment, Classify and Search Objects Locally ICCV 2013 Combining the Right Features for Complex Event Recognition ICCV 2013 Compressive Feature Learning NeurIPS 2013 Contrastive Learning Using Spectral Methods NeurIPS 2013 Correlation Filters for Object Alignment CVPR 2013 Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition ICCV 2013 Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013 Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction ICCV 2013 Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution ICCV 2013 Dictionary Learning from Ambiguously Labeled Data CVPR 2013 Dirty Statistical Models NeurIPS 2013 Discriminative Color Descriptors CVPR 2013 Domain Generalization via Invariant Feature Representation ICML 2013 Exact Rule Learning via Boolean Compressed Sensing ICML 2013 Exploring Implicit Image Statistics for Visual Representativeness Modeling CVPR 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013