192 search results - page 22 / 39 » Learning Conditional Random Fields for Stereo |
CIKM
2008
Springer
13 years 10 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
13 years 10 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...
JMLR
2012
11 years 11 months ago
2012
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
PAMI
2008
13 years 8 months ago
2008
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...