278 search results - page 30 / 56 » Strong Separation of Learning Classes |
152
Voted
FTCGV
2011
14 years 6 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
112
click to vote
PKDD
2009
Springer
15 years 9 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
132
click to vote
CDC
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
145
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
159
click to vote
JMLR
2006
15 years 2 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...