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» Properties of state spaces and their applications
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CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 3 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
16 years 1 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
DSN
2008
IEEE
16 years 1 months ago
Architectural dependability evaluation with Arcade
This paper proposes a formally well-rooted and extensible framework for dependability evaluation: Arcade (architectural dependability evaluation). It has been designed to combine ...
Hichem Boudali, Pepijn Crouzen, Boudewijn R. Haver...
CBMS
2007
IEEE
16 years 1 months ago
Managing Conceptual Revisions in a Temporal Fungal Taxonomy
Representing and Reasoning about time and change is one of the primary issues in the area of Artificial Intelligence (AI) and Knowledge Representation (KR). Despite the importance...
Arash Shaban-Nejad, Volker Haarslev
ICRA
2007
IEEE
113views Robotics» more  ICRA 2007»
16 years 1 months ago
Sampling-Based Motion Planning With Sensing Uncertainty
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
Brendan Burns, Oliver Brock