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PAMI
2006
143views more  PAMI 2006»
14 years 9 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
JMLR
2010
140views more  JMLR 2010»
14 years 4 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
CHI
2005
ACM
15 years 10 months ago
Automating the detection of breaks in continuous user experience with computer games
This paper describes an approach towards automating the identification of design problems with three-dimensional mediated or gaming environments through the capture and query of u...
Tim Marsh, Kiyoung Yang, Cyrus Shahabi, Wee Ling W...
IROS
2007
IEEE
206views Robotics» more  IROS 2007»
15 years 4 months ago
Dexterous manipulation planning using probabilistic roadmaps in continuous grasp subspaces
— In this paper, we propose a new method for the motion planning problem of rigid object dexterous manipulation with a robotic multi-fingered hand, under quasi-static movement a...
Jean-Philippe Saut, Anis Sahbani, Sahar El-Khoury,...
CAISE
2006
Springer
15 years 1 months ago
Adaptive Query Formulation to Handle Database Evolution
Databases are continuously evolving environments, where design constructs are added, removed or updated quite often. Research has extensively dealt with the problem of database evo...
George Papastefanatos, Panos Vassiliadis, Yannis V...