Embedding Learning

Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Group Sparse Coding NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NeurIPS 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Learning When Concepts Abound JMLR 2009 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009 Locality-sensitive binary codes from shift-invariant kernels NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Large Margin Taxonomy Embedding for Document Categorization NeurIPS 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Spectral Hashing NeurIPS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 Bayesian Co-Training NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007