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ICPR
2002
IEEE
16 years 7 months ago
Facial Expression Recognition Using Pseudo 3-D Hidden Markov Models
In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
Frank Hülsken, Frank Wallhoff, Gerhard Rigoll...
ICIP
2007
IEEE
16 years 20 days ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Antonio Rama, Francesc Tarres
WADS
2007
Springer
140views Algorithms» more  WADS 2007»
16 years 14 days ago
A Stab at Approximating Minimum Subadditive Join
Let (L, ∗) be a semilattice, and let c : L → [0, ∞) be monotone and increasing on L. We state the Minimum Join problem as: given size n sub-collection X of L and integer k w...
Staal A. Vinterbo
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Using partial information for face recognition and pose estimation
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
Antonio Rama, Francesc Tarres, Davide Onofrio, Ste...
EVOW
2003
Springer
15 years 11 months ago
Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
William B. Langdon, S. J. Barrett, Bernard F. Buxt...