Similarity learning

Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but… (More)
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Topic mentions per year

Topic mentions per year

1996-2017
0204019962017

Papers overview

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2013
2013
This paper introduces a novel similarity learning framework. Working with inequality constraints involving quadruplets of images… (More)
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Highly Cited
2010
Highly Cited
2010
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain… (More)
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Highly Cited
2009
Highly Cited
2009
Learning a measure of similarity between pairs of objects is an important generic problem in machine learning. It is particularly… (More)
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Highly Cited
2009
Highly Cited
2009
Learning a measure of similarity between pairs of objects is a fundamental problem in machine learning. It stands in the core of… (More)
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2009
2009
This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity… (More)
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2008
2008
The required amount of labeled training data for object detection and classification is a major drawback of current methods… (More)
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2008
2008
In this paper, we propose an algorithm for learning a general class of similarity measures for kNN classification. This class… (More)
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2006
2006
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we describe an approach to content-based retrieval of medical images from a database, and provide a preliminary… (More)
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1996
1996
The case-based reasoning (CBR) process solves problems by retrieving prior solutions and adapting them to t new circumstances… (More)
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