1012 search results - page 71 / 203 » A Learning Classifier Approach to Tomography |
96
Voted
NIPS
2004
15 years 2 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...
104
click to vote
ICPR
2008
IEEE
16 years 1 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...
126
Voted
ICIP
2010
IEEE
14 years 10 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...
97
Voted
ACL
2010
14 years 10 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...
111
Voted
ICIP
2009
IEEE
14 years 10 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...