888 search results - page 157 / 178 » Learning to Select a Ranking Function |
164
Voted
PAMI
2012
13 years 6 months ago
2012
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
144
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
119
Voted
ALT
2009
Springer
16 years 21 days ago
2009
Springer
Abstract. The paper considers the problem of semi-supervised multiview classification, where each view corresponds to a Reproducing Kernel Hilbert Space. An algorithm based on co-...
144
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ECML
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
151
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...