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» A Framework for Expressing and Combining Preferences
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CVPR
2008
IEEE
15 years 7 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
CVPR
2005
IEEE
16 years 3 months ago
2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation
We address the issue of modelling facial expressions for realistic 3D avatar animation. We introduce a hierarchical decomposition of a human face into different components and mod...
Lukasz Zalewski, Shaogang Gong
IJCNN
2007
IEEE
15 years 7 months ago
Two-stage Multi-class AdaBoost for Facial Expression Recognition
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin Kin...
FOSSACS
2006
Springer
15 years 5 months ago
On the Relative Expressive Power of Asynchronous Communication Primitives
In this paper, we study eight asynchronous communication primitives, arising from the combination of three features: arity (monadic vs polyadic data), communication medium (messag...
Daniele Gorla
IANDC
2008
95views more  IANDC 2008»
15 years 1 months ago
Comparing communication primitives via their relative expressive power
In this paper, we study sixteen communication primitives, arising from the combination of four useful programming features: synchronism (synchronous vs asynchronous primitives), a...
Daniele Gorla