conftrace_

distance metric learning

54 papers

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Also known as

DML

Co-occurring keywords

metric learning (1190) distance metric (84) representation learning (6206) mahalanobis distance (67) embedding learning (609) triplet loss (192) image retrieval (600) word embedding (1764) kernel methods (1097) graph embedding (349)

Papers

Large-Scale Distance Metric Learning With Uncertainty CVPR 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018
Bilevel Distance Metric Learning for Robust Image Recognition NIPS 2018
Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer IJCAI 2017
Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017
The Opensesame NIST 2016 Speaker Recognition Evaluation System INTERSPEECH 2017
Distance Metric Learning for Aspect Phrase Grouping COLING 2016
Learning Feature Aware Metric ACML 2016
Learning Distance Metrics for Multi-Label Classification ACML 2016
Pair-Wise Distance Metric Learning of Neural Network Model for Spoken Language Identification INTERSPEECH 2016
Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval ICCV 2015
Fine-Grained Visual Categorization via Multi-Stage Metric Learning CVPR 2015
Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014
Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning ICCV 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013
POP: Person Re-identification Post-rank Optimisation ICCV 2013
Learning Class-to-Image Distance with Object Matchings CVPR 2013
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NIPS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
Learning a Distance Metric from a Network NIPS 2011
Approximating Semidefinite Programs in Sublinear Time NIPS 2011
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011