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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… Expand
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Related topics

Related topics

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AlgorithmCluster analysisConvex optimizationCross-validation (statistics)
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Broader (1)

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… Expand
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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… Expand
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Highly Cited
2011
Highly Cited
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… Expand
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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… Expand
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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… Expand
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Highly Cited
2010
Highly Cited
2010
Large Margin Multi-Task Metric Learning
Multi-task learning (MTL) improves the prediction performance on multiple, different but related, learning problems through… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
We study boosting algorithms for learning to rank. We give a general margin-based bound for ranking based on covering numbers for… Expand
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Highly Cited
2005
Highly Cited
2005
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The accuracy of k-nearest neighbor (kNN) classification depends significantly on the metric used to compute distances between… Expand
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Highly Cited
1992
Highly Cited
1992
A training algorithm for optimal margin classifiers
A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The… Expand
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