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metric learning

1189 papers

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Also known as

FTML UML MLKML ML SPD DML MNR

Co-occurring keywords

representation learning (6174) few-shot learning (3390) image retrieval (599) embedding learning (609) person re-identification (554) convolutional neural network (4216) contrastive learning (3979) triplet loss (192) feature embedding (312) feature learning (1309)

Papers

Generalized Aitchison Embeddings for Histograms ACML 2013
Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning ICCV 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild CVPR 2013
Distribution to Distribution Regression ICML 2013
Robust Feature Set Matching for Partial Face Recognition ICCV 2013
Graph-Based Discriminative Learning for Location Recognition CVPR 2013
Learning Class-to-Image Distance with Object Matchings CVPR 2013
Find the Best Path: An Efficient and Accurate Classifier for Image Hierarchies ICCV 2013
Similarity Component Analysis NIPS 2013
Local Fisher Discriminant Analysis for Pedestrian Re-identification CVPR 2013
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013
From Point to Set: Extend the Learning of Distance Metrics ICCV 2013
Person Re-identification by Salience Matching ICCV 2013
POP: Person Re-identification Post-rank Optimisation ICCV 2013
Similarity Metric Learning for Face Recognition ICCV 2013
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems JMLR 2013
Reducing statistical time-series problems to binary classification NIPS 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Distance Metric Learning with Eigenvalue Optimization JMLR 2012
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Isotropic Hashing NIPS 2012
Hamming Distance Metric Learning NIPS 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012