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Metric Learning

2,854 papers

Papers per year

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Papers

Visalogy: Answering Visual Analogy Questions NIPS 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NIPS 2015
From random walks to distances on unweighted graphs NIPS 2015
Statistical Topological Data Analysis - A Kernel Perspective NIPS 2015
A Structural Smoothing Framework For Robust Graph Comparison NIPS 2015
Sample Complexity of Learning Mahalanobis Distance Metrics NIPS 2015
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NIPS 2015
Learning with a Wasserstein Loss NIPS 2015
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NIPS 2015
Submodular Hamming Metrics NIPS 2015
Deep Visual Analogy-Making NIPS 2015
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NIPS 2015
Metric recovery from directed unweighted graphs AISTATS 2015
Dimensionality estimation without distances AISTATS 2015
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation CVPR 2015
Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015
Deep Transfer Metric Learning CVPR 2015
Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning CVPR 2015
Complexity-Adaptive Distance Metric for Object Proposals Generation CVPR 2015
Multi-Manifold Deep Metric Learning for Image Set Classification CVPR 2015
A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015