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NIPS
2003
9 years 5 months ago
Learning a Distance Metric from Relative Comparisons
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
Matthew Schultz, Thorsten Joachims
TKDE
2008
148views more  TKDE 2008»
9 years 3 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
CVPR
2008
IEEE
10 years 6 months ago
Rank-based distance metric learning: An application to image retrieval
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Jung-Eun Lee, Rong Jin, Anil K. Jain
IVC
2007
176views more  IVC 2007»
9 years 3 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
AAAI
2015
4 years 12 days ago
Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric
In this paper we present a plan-plan distance metric based on Kolmogorov (Algorithmic) complexity. Generating diverse sets of plans is useful for tasks such as probing user prefer...
Robert P. Goldman, Ugur Kuter
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