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)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
We introduce a novel supervised metric learning algorithm named parameter free large margin nearest neighbor (PFLMNN) which can… (More)
  • figure 1
  • table 1
  • figure 2
  • table 3
  • table 4
Is this relevant?
2016
2016
Large margin nearest neighbor classification (LMNN) is a popular technique to learn a metric that improves the accuracy of a… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
Is this relevant?
2015
2015
Traditional way of storing facts in triplets (head_entity, relation, tail_entity), abbreviated as (h, r, t), allows the knowledge… (More)
  • figure 1
  • table I
  • table IV
  • table V
  • table II
Is this relevant?
2014
2014
The main objective of this letter is to formulate a new approach of learning a Mahalanobis distance metric for nearest neighbor… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
2013
2013
The accuracy of the k-nearest neighbor algorithm depends on the distance function used to measure similarity between instances… (More)
  • table 1
  • table 2
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
2011
2011
The nearest neighbor classification is a simple and yet effective technique for pattern recognition. Performance of this… (More)
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2011
2011
Nearest neighbor (NN) classifier with dynamic time warping (DTW) is considered to be an effective method for time series… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
2011
2011
We concern the problem of learning a Mahalanobis distance metric for improving nearest neighbor classification. Our work is built… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2010
2010
Distance metric learning has exhibited its great power to enhance performance in metric related pattern recognition tasks. The… (More)
  • figure 1
  • figure 2
  • table I
Is this relevant?
Highly Cited
2005
Highly Cited
2005
The nearest neighbor technique is a simple and appealing approach to addressing classification problems. It relies on the… (More)
  • figure 1
  • figure 3
  • table I
  • figure 5
  • figure 4
Is this relevant?