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» State Estimation With Initial State Uncertainty
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AAAI
2010
13 years 9 months ago
Automatic Derivation of Finite-State Machines for Behavior Control
Finite-state controllers represent an effective action selection mechanisms widely used in domains such as video-games and mobile robotics. In contrast to the policies obtained fr...
Blai Bonet, Héctor Palacios, Hector Geffner
ICASSP
2011
IEEE
12 years 11 months ago
A Kalman-like algorithm with no requirements for noise and initial conditions
We address a Kalman-like estimator for solving universally the problems of filtering (p = 0), prediction (p > 0), and smoothing (p < 0) of discrete time-varying state-space...
Yuriy S. Shmaliy
ICIP
2001
IEEE
14 years 9 months ago
Tracking of human activities using shape-encoded particle propagation
We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
AAAI
2000
13 years 9 months ago
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
The main problem of planning is to find a sequence of actions that an agent must perform to achieve a given objective. An important part of planning is checking whether a given pl...
Raul Trejo, Vladik Kreinovich, Chitta Baral
ICCAD
1999
IEEE
78views Hardware» more  ICCAD 1999»
13 years 12 months ago
Probabilistic state space search
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...