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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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Papers overview

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2018
2018
The major challenge for individual identification from periodical locomotion is to explore the unique spatio-temporal motion… 
2017
2017
The performance of many artificial intelligence systems critically depends on classification methods. Unfortunately, most… 
2016
2016
We consider the supervised classification problem of machine learning in Cayley-Klein projective geometries: We show how to learn… 
2016
2016
Person re-identification is a process of matching person images of same identity across nonoverlapping camera views at different… 
2015
2015
Traditional way of storing facts in triplets (head_entity, relation, tail_entity), abbreviated as (h, r, t), allows the knowledge… 
2014
2014
In this paper, a novel cosine similarity metric learning based on large margin nearest neighborhood LMNN is proposed for an i… 
2010
2010
Distance metric learning has exhibited its great power to enhance performance in metric related pattern recognition tasks. The… 
2010
2010
This paper aims to determine human blood glucose levels through analyzing the acetone present in exhaled breath as a noninvasive…