126 search results - page 11 / 26 » Discriminative Random Fields for Behavior Modeling |
IJRR
2007
13 years 8 months ago
2007
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
ICASSP
2011
IEEE
13 years 10 days ago
2011
IEEE
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...
MICCAI
2004
Springer
14 years 9 months ago
2004
Springer
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
MICCAI
2009
Springer
14 years 9 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...