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TMI
2008
136views more  TMI 2008»
13 years 8 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen
SIGPRO
2010
141views more  SIGPRO 2010»
13 years 7 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
ISNN
2007
Springer
14 years 2 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
SIGCSE
2006
ACM
147views Education» more  SIGCSE 2006»
14 years 2 months ago
Image understanding as a second course in AI: preparing students for research
This paper describes the development and structure of a second course in artificial intelligence that was developed to meet the needs of upper-division undergraduate and graduate ...
Roxanne L. Canosa
DSN
2002
IEEE
14 years 1 months ago
Process Modelling to Support Dependability Arguments
This paper reports work to support dependability arguments about the future reliability of a product before there is direct empirical evidence. We develop a method for estimating ...
Robin E. Bloomfield, Sofia Guerra