83 search results - page 8 / 17 » Rademacher Chaos Complexities for Learning the Kernel Proble... |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
AIIA
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
COLT
2003
Springer
14 years 27 days ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
SIAMCOMP
2011
13 years 2 months ago
2011
Abstract. In the 2nd Annual FOCS (1961), Chao-Kong Chow proved that every Boolean threshold function is uniquely determined by its degree-0 and degree-1 Fourier coefficients. These...
JIIS
2006
13 years 7 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...