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» Face Class Modeling Using Mixture of SVMs
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FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
14 years 10 days ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
BMCBI
2004
79views more  BMCBI 2004»
13 years 7 months ago
A new mixture model approach to analyzing allelic-loss data using Bayes factors
Background: Allelic-loss studies record data on the loss of genetic material in tumor tissue relative to normal tissue at various loci along the genome. As the deletion of a tumor...
Manisha Desai, Mary J. Emond
VLSISP
1998
191views more  VLSISP 1998»
13 years 7 months ago
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model
In this paper, we present preliminary results comparing the nature of the errors introduced by the mixture of principal components (MPC) model with a wavelet transform and the Karh...
Nanda Kambhatla, Simon Haykin, Robert D. Dony
AVSS
2006
IEEE
14 years 1 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...
INTERSPEECH
2010
13 years 2 months ago
Prosodic speaker verification using subspace multinomial models with intersession compensation
We propose a novel approach to modeling prosodic features. Inspired by Joint Factor Analysis model (JFA), our model is based on the same idea of introducing subspace of model para...
Marcel Kockmann, Lukas Burget, Ondrej Glembek, Luc...