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» Learning Event Durations from Event Descriptions
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ICASSP
2011
IEEE
14 years 3 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 1 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»
14 years 10 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 1 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 1 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