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» Tracking in Reinforcement Learning
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RAS
2006
108views more  RAS 2006»
14 years 9 months ago
A computational model of intention reading in imitation
Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and e...
Bart Jansen, Tony Belpaeme
111
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AROBOTS
2002
166views more  AROBOTS 2002»
14 years 9 months ago
Multi-Modal Interaction of Human and Home Robot in the Context of Room Map Generation
In robotics, the idea of human and robot interaction is receiving a lot of attention lately. In this paper, we describe a multi-modal system for generating a map of the environment...
Saeed Shiry Ghidary, Yasushi Nakata, Hiroshi Saito...
TSP
2011
230views more  TSP 2011»
14 years 4 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
UM
2010
Springer
15 years 2 months ago
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing
The field of intelligent tutoring systems has been using the well known knowledge tracing model, popularized by Corbett and Anderson (1995) to track individual users’ knowledge f...
Zachary A. Pardos, Neil T. Heffernan
CVPR
2008
IEEE
15 years 11 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...