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CACM
2002
92views more  CACM 2002»
15 years 1 months ago
Probabilistic robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun
TPDS
2010
89views more  TPDS 2010»
15 years 9 days ago
Energy-Efficient Protocol for Deterministic and Probabilistic Coverage in Sensor Networks
—Various sensor types, e.g., temperature, humidity, and acoustic, sense physical phenomena in different ways, and thus, are expected to have different sensing models. Even for th...
Mohamed Hefeeda, Hossein Ahmadi
CVPR
2008
IEEE
16 years 4 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
COLT
1994
Springer
15 years 6 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
ICLP
2010
Springer
15 years 5 months ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian