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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
CVPR
2007
IEEE
16 years 1 days ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
SASP
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract—One of the ways that custom instruction set extensions can improve over software execution is through the use of hardware structures that have been optimized at the arit...
COGSCI
2006
14 years 10 months ago
2006
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
BIOINFORMATICS
2002
14 years 9 months ago
2002
Reconstructing evolutionary trees is an important problem in biology. A response to the computational intractability of most of the traditional criteria for inferring evolutionary...