3677 search results - page 651 / 736 » Is a probabilistic modeling |
NIPS
2004
13 years 11 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
STTT
2008
13 years 10 months ago
2008
1 This papers introduces a generic framework for OBDD variants with weighted edges. It covers many boolean and multi-valued OBDD-variants that have been studied in the literature a...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
We present a markerless motion capture approach that reconstructs the skeletal motion and detailed time-varying surface geometry of two closely interacting people from multi-view ...
AI
2011
Springer
13 years 1 months ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...