3643 search results - page 141 / 729 » Learning Submodular Functions |
198
Voted
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
132
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FOCM
2006
15 years 6 months ago
2006
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
168
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PAA
2008
15 years 6 months ago
2008
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
181
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ALT
2001
Springer
16 years 3 months ago
2001
Springer
The main question addressed in the present work is how to find effectively a recursive function separating two sets drawn arbitrarily from a given collection of disjoint sets. I...
167
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CVPR
2008
IEEE
15 years 8 months ago
2008
IEEE
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...