Metric Learning

Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NeurIPS 2012 Super-Bit Locality-Sensitive Hashing NeurIPS 2012 Supervised Learning with Similarity Functions NeurIPS 2012 A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011 Approximating Semidefinite Programs in Sublinear Time NeurIPS 2011 Convergent Bounds on the Euclidean Distance NeurIPS 2011 Cross-Domain Object Matching with Model Selection AISTATS 2011 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Exploiting spatial overlap to efficiently compute appearance distances between image windows NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Generative Kernels for Exponential Families AISTATS 2011 Heavy-tailed Distances for Gradient Based Image Descriptors NeurIPS 2011 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 Learning Anchor Planes for Classification NeurIPS 2011 Learning a Robust Relevance Model for Search Using Kernel Methods JMLR 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Learning Multi-modal Similarity JMLR 2011 Learning to Search Efficiently in High Dimensions NeurIPS 2011 Maximum Margin Multi-Instance Learning NeurIPS 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Minimax Algorithm for Learning Rotations COLT 2011 Multiple Instance Learning on Structured Data NeurIPS 2011