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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… 
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Related topics

Related topics

17 relations
AlgorithmCluster analysisConvex optimizationCross-validation (statistics)

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Efficient Linear Feature Extraction Based on Large Margin Nearest Neighbor
Linear feature extraction methods have become indispensable tools in pattern recognition. The linear dimensionality reduction… 
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… 
2015
2015
Conservation Agriculture Practices in Salt-Affected, Irrigated Areas of Central Asia: Crop Price and Input Cost Variability Effect on Revenue Risks
The threats to sustainable agriculture caused by severe land degradation, high soil salinity, and increased production costs on… 
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… 
2013
2013
Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers
In this paper, we raise important issues concerning the evaluation complexity of existing Mahalanobis metric learning methods… 
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… 
2011
2011
Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification
Distance metric learning is a powerful tool to improve performance in classification, clustering and regression tasks. Many… 
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… 
Highly Cited
2007
Highly Cited
2007
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer… 
2001
2001
Large Margin Nearest Neighbor Classifiers
Large margin classifiers are computed to assign patterns to a class with high confidence. This strategy helps controlling the… 
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