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ICA
2007
Springer
14 years 3 months ago
Mutual Interdependence Analysis (MIA)
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
Heiko Claussen, Justinian Rosca, Robert I. Damper
TCSV
2008
177views more  TCSV 2008»
13 years 9 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
NIPS
2001
13 years 10 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille
CL
2008
Springer
13 years 9 months ago
Foundations of a simple and unified component-oriented language
Component-orientedprogramming(COP)isactuallyakeyresearchtrackinsoftwareengineering.Avarietyofcomponent-oriented s (COLs) have been proposed with new or adapted abstractions and me...
Luc Fabresse, Christophe Dony, Marianne Huchard
ECCV
2000
Springer
14 years 11 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn