Ranking SVM

In machine learning, a Ranking SVM is an variant of the support vector machine algorithm, which is used to solve certain ranking problems (via… (More)
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Topic mentions per year

Topic mentions per year

2004-2018
05101520042018

Papers overview

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2016
2016
The success of an image classification algorithm largely depends on how it incorporates local information in the global decision… (More)
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2014
2014
In this paper, we propose a novel learning to rank method using Ensemble Ranking SVM. Ensemble Ranking SVM is based on Ranking… (More)
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2012
2012
We consider image retrieval with structured object queries – queries that specify the objects that should be present in the scene… (More)
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2012
2012
This paper proposes a human age estimation method using Ranking SVM method. Given a face image, most previous methods estimate… (More)
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Highly Cited
2011
Highly Cited
2011
Object recognition has made great strides recently. However, the best methods, such as those based on kernel-SVMs are highly… (More)
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2011
2011
In this paper, we tackle the tracking problem in a quite other viewpoint, ranking. First, the ranking SVM is employed to learn a… (More)
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2009
2009
Learning ranking (or preference) functions has become an important data mining task in recent years, as various applications have… (More)
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2009
2009
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating… (More)
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Highly Cited
2009
Highly Cited
2009
  • Xin Jianga, Yunhua Hub, Hang Lib
  • 2009
This paper addresses the issue of automatically extracting keyphrases from document. Previously, this problem was formalized as… (More)
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Highly Cited
2006
Highly Cited
2006
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank… (More)
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