1012 search results - page 71 / 203 » A Learning Classifier Approach to Tomography |
124
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NIPS
2004
15 years 5 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
132
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
155
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ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
125
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ACL
2010
15 years 2 months ago
2010
This research explores the idea of inducing domain-specific semantic class taggers using only a domain-specific text collection and seed words. The learning process begins by indu...
150
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ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
We consider the problem of parsing facial features from an image labeling perspective. We learn a per-pixel unary classifier, and a prior over expected label configurations, allow...