91 search results - page 6 / 19 » Bayesian learning of joint distributions of objects |
131
Voted
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
148
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ICONIP
2007
15 years 5 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
132
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NIPS
2008
15 years 5 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
152
Voted
ICDAR
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
158
Voted
ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...