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68
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NIPS
2007
14 years 11 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
TOG
2008
100views more  TOG 2008»
14 years 9 months ago
Laughing out loud: control for modeling anatomically inspired laughter using audio
We present a novel technique for generating animation of laughter for a character. Our approach utilizes an anatomically inspired, physics-based model of a human torso that includ...
Paul C. DiLorenzo, Victor B. Zordan, Benjamin L. S...
NOMS
2008
IEEE
132views Communications» more  NOMS 2008»
15 years 3 months ago
Improving distributed service management using Service Modeling Language (SML)
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
Robert Adams, Ricardo Rivaldo, Guilherme Germoglio...
CHI
2008
ACM
15 years 10 months ago
An error model for pointing based on Fitts' law
For decades, Fitts' law (1954) has been used to model pointing time in user interfaces. As with any rapid motor act, faster pointing movements result in increased errors. But...
Jacob O. Wobbrock, Edward Cutrell, Susumu Harada, ...
96
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PAMI
2010
324views more  PAMI 2010»
14 years 8 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...