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» A Symbolic Out-of-Core Solution Method for Markov Models
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ACCV
2010
Springer
13 years 2 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
AAAI
2006
13 years 9 months ago
Model Counting: A New Strategy for Obtaining Good Bounds
Model counting is the classical problem of computing the number of solutions of a given propositional formula. It vastly generalizes the NP-complete problem of propositional satis...
Carla P. Gomes, Ashish Sabharwal, Bart Selman
ICRA
1993
IEEE
142views Robotics» more  ICRA 1993»
13 years 11 months ago
Avoiding the Past: A Simple but Effective Strategy for Reactive Navigation
An issue central to the navigation problem is memory. Traditional systems build symbolic maps of the world for navigational reference. Reactive methods, in contrast, eliminate or m...
Tucker R. Balch, Ronald C. Arkin
ICIP
1998
IEEE
14 years 9 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
AAAI
2007
13 years 10 months ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...