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PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
Super-Resolution is the problem of generating one or a set of high-resolution images from one or a sequence of lowresolution frames. Most methods have been proposed for super-reso...
FCSC
2007
13 years 8 months ago
2007
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
JMLR
2010
13 years 7 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...