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ICASSP
2009
IEEE
14 years 5 days ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
FORMATS
2003
Springer
14 years 1 months ago
Performance Analysis of Probabilistic Timed Automata Using Digital Clocks
Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a specification formalism suitable for describing both nondeterminis...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...
MICCAI
2009
Springer
14 years 9 months ago
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
François Chung, Hervé Delingette
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
14 years 1 months ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari
ICASSP
2011
IEEE
13 years 1 days ago
Applications of short space-time fourier analysis in digital acoustics
This paper presents a signal processing tool for analyzing and manipulating digitized acoustic wave fields, based on a spatio-temporal extension of the time–frequency represent...
Francisco Pinto, Martin Vetterli