Distance Metric Learning for Large Margin Nearest Neighbor Classification

Keywords

Mahalanobis distance, Large margin nearest neighbor, Metric (unit), Pattern recognition (psychology), k-nearest neighbors algorithm

References

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• Discriminant Adaptive Nearest Neighbor ClassificationTrevor Hastie, Robert Tibshirani — 1995
• Kernel relevant component analysis for distance metric learningIvor W. Tsang, Pak-Ming Cheung, James T. Kwok — 2005
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• Large margin nearest neighbor classifiersCarlotta Domeniconi, Dimitrios Gunopulos, Jian Peng — 2005
• Shape Matching and Object Recognition Using Shape ContextsSerge Belongie, Jitendra Malik, Jan Puzicha — 2002
• An Invariant Large Margin Nearest Neighbour ClassifierManish Kumar, Philip H. S. Torr, Andrew Zisserman — 2007
• Metric Learning by Collapsing ClassesAmir Globerson, Sam T. Roweis — 2005
• An introduction to kernel-based learning algorithmsK. Müller, S. Mika, Gunnar Rätsch — 2001
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• Nearest neighbor pattern classificationThomas M. Cover, Peter E. Hart — 1967
• Learning The Discriminative Power-Invariance Trade-OffManik Varma, Debajyoti Ray — 2007
• Cover trees for nearest neighborAlina Beygelzimer, Sham M. Kakade, John Langford — 2006
• Efficient Pattern Recognition Using a New Transformation DistancePatrice Simard, Yann LeCun, John S. Denker — 1992
• Eigenfaces for RecognitionMatthew Turk, Alex Pentland — 1991

Cited by

• Metric learning for incorporating privileged information in prototype-based modelsShereen Fouad — 2013
• Apprentissage automatique pour l'extraction de caractéristiques : application au partitionnement de documents, au résumé automatique et au filtrage collaboratifJean-François Pessiot — 2008
• Global vs. Local: Component Based Learning for Classification and Image UnderstandingYi Hong — 2013
• Identifying Nuclear Phenotypes Using Semi-supervised Metric LearningShantanu Singh, Firdaus Janoos, Thierry Pécot — 2011
• Protein Classiflcation in a Machine Learning FrameworkAttila Kertész‐Farkas — 2008
• Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and PosteriorsQiang Qian, Songcan Chen — 2012
• Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric LearningQingzhong Liu, A. Sung, B. Ribeiro — 2009
• Advances in dissimilarity-based data visualisationAndrej Gisbrecht — 2015
• Discriminative visualization by limited rank matrix learningKerstin Bunte, Petra Schneider, Barbara Hammer — 2008
• A proposed method of local feature-weighting to improve predictions of basic nearest neighbor ruleOmid Dehzangi, Mansoor Zolghadri Jahromi — 2007
• Person Re-identification Meets Image SearchLiang Zheng, Liyue Shen, Lu Tian — 2015
• Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite ProgramsJianhui Chen, Tianbao Yang, Shenghuo Zhu — 2014
• Person Reidentification via Discrepancy Matrix and Matrix Metric顕生 村上, 利和 田中 — 2018
• Learning Two-Branch Neural Networks for Image-Text Matching Tasks賢治 木村, 亜紀子 山形, 喜子 木田 — 2017
• Person Reidentification by Joint Local Distance Metric and Feature TransformationSı́lvia Bendicho, Olga Martín‐Belloso, Gustavo V. Barbosa‐Cánovas — 2019
• Differentiating Duchenne from Non-Duchenne Smiles Using Active Appearance Models and the Facial Action Coding SystemJason Vandeventer, Eric Patterson, Bryan Reinicke — 2012
• Matrix adaptation in discriminative vector quantizationPetra Schneider, Michael Biehl, Barbara Hammer — 2008
• Frugal and Online Affinity PropagationXiangliang Zhang, Cyril Furtlehner, Michèle Sébag — 2008
• Reconnaissance de catégories d'objets et d'instances d'objets à l'aide de représentations locales. (Local Feature Based Object Categories and Object Instances Recognition)Éric Nowak — 2008
• Sparsity regularization and graph-based representation in medical imagingAikaterini Gkirtzou — 2013

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