187 search results - page 20 / 38 » Conditional random fields for multi-agent reinforcement lear... |
111
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CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
125
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
AAAI
2008
15 years 2 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
NIPS
2004
15 years 1 months ago
2004
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...