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ICASSP
2011
IEEE
12 years 11 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
GW
2005
Springer
161views Biometrics» more  GW 2005»
14 years 1 months ago
Captured Motion Data Processing for Real Time Synthesis of Sign Language
Abstract. The work described in this abstract presents a roadmap towards the creation and specification of a virtual humanoid capable of performing expressive gestures in real tim...
Alexis Heloir, Sylvie Gibet, Franck Multon, Nicola...
BMVC
2010
13 years 5 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
CVPR
2009
IEEE
15 years 2 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
ICPR
2006
IEEE
14 years 8 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan