230 search results - page 13 / 46 » Smooth Optimization for Effective Multiple Kernel Learning |
104
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JMLR
2006
14 years 9 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...
85
Voted
PAA
2010
14 years 8 months ago
2010
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
79
Voted
NIPS
2007
14 years 11 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
73
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Our objective is to obtain a state-of-the art object category
detector by employing a state-of-the-art image classifier
to search for the object in all possible image subwindows....