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COGSCI
2010
125views more  COGSCI 2010»
13 years 9 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
JAIR
2000
152views more  JAIR 2000»
13 years 8 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
NN
2006
Springer
232views Neural Networks» more  NN 2006»
13 years 9 months ago
A probabilistic model of gaze imitation and shared attention
An important component of language acquisition and cognitive learning is gaze imitation. Infants as young as one year of age can follow the gaze of an adult to determine the objec...
Matthew W. Hoffman, David B. Grimes, Aaron P. Shon...
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
KI
2005
Springer
14 years 2 months ago
A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot
Dealing with methods of human-robot interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system and requir...
Erik Schaffernicht, Christian Martin, Andrea Schei...