159 search results - page 27 / 32 » Regularization in matrix relevance learning |
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
142
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
103
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MM
2009
ACM
2009
ACM
Distance metric learning from uncertain side information with application to automated photo tagging
15 years 2 months ago
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
87
Voted
CVPR
2012
IEEE
13 years 3 days ago
2012
IEEE
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
113
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EMNLP
2010
14 years 7 months ago
2010
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...