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MLDM
2009
Springer
14 years 3 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
ICML
2006
IEEE
14 years 9 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
14 years 2 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
FLAIRS
2006
13 years 10 months ago
Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application
In this paper, we investigate the semantic meaning of the messages passed in the Hugin architecture for probabilistic inference. By utilizing this information, one can avoid passi...
Dan Wu, Karen H. Jin
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
14 years 2 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao