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ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
13 years 5 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
CVIU
2006
162views more  CVIU 2006»
13 years 8 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
CHI
2009
ACM
14 years 8 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
IEEESCC
2010
IEEE
13 years 10 months ago
A Model for Visual Specification of E-contracts
Abstract--In a web service composition, an electronic contract (e-contract) regulates how the services participating in the composition should behave, including the restrictions th...
Enrique Martinez, Gregorio Díaz, Marí...
CORR
2010
Springer
67views Education» more  CORR 2010»
13 years 8 months ago
From granular avalanches to fluid turbulences through oozing pastes. A mesoscopic physically-based particle model
In this paper, we describe how we can precisely produce complex and various dynamic morphological features such as structured and chaotic features which occur in sand pilings (pil...
Annie Luciani