Representation Learning

A New Frontier of Kernel Design for Structured Data ICML 2013 A Novel Two-Step Method for Cross Language Representation Learning NeurIPS 2013 Anytime Representation Learning ICML 2013 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013 Attribute Dominance: What Pops Out? ICCV 2013 Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition CVPR 2013 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013 Axially Symmetric 3D Pots Configuration System Using Axis of Symmetry and Break Curve CVPR 2013 Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Better Mixing via Deep Representations ICML 2013 Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013 Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification CVPR 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Boosting Binary Keypoint Descriptors CVPR 2013 Bringing Semantics into Focus Using Visual Abstraction CVPR 2013 Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013 Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013 Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid CVPR 2013 Cartesian K-Means CVPR 2013 Characterizing the Representer Theorem ICML 2013