824 search results - page 9 / 165 » Learning probabilistic logic models from probabilistic examp... |
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
ML
2006
ACM
14 years 9 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...