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» The Feature Subspace Method for SMT System Combination
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105
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ISDA
2009
IEEE
15 years 8 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
ICCV
2007
IEEE
15 years 3 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
121
Voted
ICPR
2006
IEEE
16 years 3 months ago
Face Recognition by Combining Kernel Associative Memory and Gabor Transforms
Kernel associative memory (KAM) has previously been proposed as an efficient scheme for face recognition. In this paper, a hybrid method of combining KAM and Gabor wavelet transfo...
Bailing Zhang, Clement Leung, Yongsheng Gao
125
Voted
PADL
2000
Springer
15 years 5 months ago
Programming Deep Concurrent Constraint Combinators
Constraint combination methods are essential for a flexible constraint programming system. This paper presents deep concurrent constraint combinators based on computation spaces as...
Christian Schulte
100
Voted
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
15 years 5 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre