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IROS
2007
IEEE
148views Robotics» more  IROS 2007»
15 years 7 months ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
FLAIRS
2001
15 years 2 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig
IJNSEC
2007
127views more  IJNSEC 2007»
15 years 16 days ago
Markov Chain Modelling of the Probabilistic Packet Marking Algorithm
In this work, we show that the current termination condition of the Probabilistic Packet Marking (PPM) algorithm is not correct for general networks, and this implies the estimati...
Tsz-Yeung Wong, John Chi-Shing Lui, Man Hon Wong
96
Voted
ICIP
2008
IEEE
16 years 2 months ago
Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas
3D Brain SPECT imagery is a well established functional imaging method which has become a great help to physicians in the diagnosis of several neurological and cerebrovascular dis...
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean...
95
Voted
BMCBI
2006
159views more  BMCBI 2006»
15 years 20 days ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey