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» Learning Event Durations from Event Descriptions
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ICASSP
2011
IEEE
14 years 7 months ago
MCMC inference of the shape and variability of time-response signals
Signals in response to time-localized events of a common phenomenon tend to exhibit a common shape, but with variable time scale, amplitude, and delay across trials in many domain...
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ale...
ATAL
2008
Springer
15 years 6 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
SOCROB
2010
126views Robotics» more  SOCROB 2010»
15 years 2 months ago
Using the Interaction Rhythm as a Natural Reinforcement Signal for Social Robots: A Matter of Belief
Abstract. In this paper, we present the results of a pilot study of a human robot interaction experiment where the rhythm of the interaction is used as a reinforcement signal to le...
Antoine Hiolle, Lola Cañamero, Pierre Andry...
CVPR
1998
IEEE
16 years 6 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
EACL
1993
ACL Anthology
15 years 5 months ago
A Computational Treatment of Sentence-Final 'then'
We describe a computational system which parses discourses consisting of sequences of simple sentences. These contain a range of temporal constructions, including time adverbials,...
Sheila Glasbey