238 search results - page 40 / 48 » Learning for Optical Flow Using Stochastic Optimization |
ICCV
2011
IEEE
11 years 11 months ago
2011
IEEE
Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object detection and object ...
NIPS
1998
13 years 9 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
GLOBECOM
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract—We consider the location service in a mobile adhoc network (MANET), where each node needs to maintain its location information in the network by (i) frequently updating ...
JMLR
2010
13 years 2 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
PASTE
2010
ACM
14 years 24 days ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...