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ECIS
2011
12 years 9 months ago
Adaptive persuasive messages in an e-commerce setting: the use of persuasion profiles
Technologies that are intentionally designed to change a person’s attitude or behaviors are emergent. Designers of these technologies frequently use implementations of influence...
Maurits Kaptein
CVPR
2010
IEEE
12 years 7 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
CVPR
2007
IEEE
14 years 12 months ago
3D Occlusion Inference from Silhouette Cues
We consider the problem of detecting and accounting for the presence of occluders in a 3D scene based on silhouette cues in video streams obtained from multiple, calibrated views....
Jean-Sébastien Franco, Li Guan, Marc Pollef...
IJAR
2002
102views more  IJAR 2002»
13 years 9 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
CVPR
2008
IEEE
14 years 12 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda