1956 search results - page 212 / 392 » Learning the Relative Importance of Features in Image Data |
135
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
128
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CBMS
2005
IEEE
15 years 10 months ago
2005
IEEE
The Gene Ontology (GO) is an important knowledge resource for biologists and bioinformaticians. This paper explores the integration of similarity information derived from GO into ...
155
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ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
163
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SIGIR
2012
ACM
13 years 6 months ago
2012
ACM
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
107
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CIVR
2007
Springer
15 years 10 months ago
2007
Springer
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...