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» Using GP to Model Contextual Human Behavior
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NIPS
2000
13 years 9 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
ICTAI
2007
IEEE
14 years 2 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
CHI
2010
ACM
14 years 2 months ago
Using reinforcement to strengthen users' secure behaviors
Users have a strong tendency toward dismissing security dialogs unthinkingly. Prior research has shown that users' responses to security dialogs become significantly more tho...
Ricardo Villamarín-Salomón, Jos&eacu...
CHI
2004
ACM
14 years 8 months ago
Predictive human performance modeling made easy
Although engineering models of user behavior have enjoyed a rich history in HCI, they have yet to have a widespread impact due to the complexities of the modeling process. In this...
Bonnie E. John, Konstantine C. Prevas, Dario D. Sa...
PAMI
2010
140views more  PAMI 2010»
13 years 6 months ago
Differential Geometric Inference in Surface Stereo
—Many traditional two-view stereo algorithms explicitly or implicitly use the frontal parallel plane assumption when exploiting contextual information since, e.g., the smoothness...
Gang Li, Steven W. Zucker