990 search results - page 95 / 198 » Learning with non-positive kernels |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
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ECCV
2010
Springer
14 years 12 months ago
2010
Springer
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
100
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ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as th...
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...