Large margin nearest neighbor

Known as: LMNN, Large margin nearest neighbor classification 
Large margin nearest neighbor (LMNN) classification is a statistical machine learning algorithm for metric learning. It learns a pseudometric… (More)
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AlgorithmCluster analysisConvex optimizationCross-validation (statistics)
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Machine learning

Papers overview

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2017
2017
Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning
We introduce a novel supervised metric learning algorithm named parameter free large margin nearest neighbor (PFLMNN) which can… (More)
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2016
2016
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning
Large margin nearest neighbor classification (LMNN) is a popular technique to learn a metric that improves the accuracy of a… (More)
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2015
2015
Large Margin Nearest Neighbor Embedding for Knowledge Representation
Traditional way of storing facts in triplets (head_entity, relation, tail_entity), abbreviated as (h, r, t), allows the knowledge… (More)
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2014
2014
Modified Large Margin Nearest Neighbor Metric Learning for Regression
The main objective of this letter is to formulate a new approach of learning a Mahalanobis distance metric for nearest neighbor… (More)
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2013
2013
Mixtures of Large Margin Nearest Neighbor Classifiers
The accuracy of the k-nearest neighbor algorithm depends on the distance function used to measure similarity between instances… (More)
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2011
2011
Large-margin nearest neighbor classifiers via sample weight learning
The nearest neighbor classification is a simple and yet effective technique for pattern recognition. Performance of this… (More)
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2011
2011
Dynamic time warping constraint learning for large margin nearest neighbor classification
Nearest neighbor (NN) classifier with dynamic time warping (DTW) is considered to be an effective method for time series… (More)
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2011
2011
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification
We concern the problem of learning a Mahalanobis distance metric for improving nearest neighbor classification. Our work is built… (More)
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2010
2010
Hierarchical Large Margin Nearest Neighbor Classification
Distance metric learning has exhibited its great power to enhance performance in metric related pattern recognition tasks. The… (More)
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Highly Cited
2005
Highly Cited
2005
Large margin nearest neighbor classifiers
The nearest neighbor technique is a simple and appealing approach to addressing classification problems. It relies on the… (More)
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