8970 search results - page 252 / 1794 » Learning to Learn Causal Models |
162
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ICDAR
2009
IEEE
16 years 20 days ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
176
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IEEECIT
2010
IEEE
15 years 4 months ago
2010
IEEE
—In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the...
202
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
193
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...