126 search results - page 10 / 26 » Discriminative Random Fields for Behavior Modeling |
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
RECOMB
2005
Springer
14 years 9 months ago
2005
Springer
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
INFORMATICALT
2006
13 years 8 months ago
2006
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...