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» Multilinear Independent Components Analysis
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ISBI
2011
IEEE
13 years 1 months ago
Principal components regression: Multivariate, gene-based tests in imaging genomics
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...
ICIP
2009
IEEE
13 years 7 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
RTSS
2007
IEEE
14 years 4 months ago
Integrating Adaptive Components: An Emerging Challenge in Performance-Adaptive Systems and a Server Farm Case-Study
The increased complexity of performance-sensitive software systems leads to increased use of automated adaptation policies in lieu of manual performance tuning. Composition of ada...
Jin Heo, Dan Henriksson, Xue Liu, Tarek F. Abdelza...
BMCBI
2006
183views more  BMCBI 2006»
13 years 10 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
HCI
2009
13 years 8 months ago
Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex
The posterior parietal cortex (PPC) plays an important role in motor planning and execution. Here, we investigated whether noninvasive electroencephalographic (EEG) signals recorde...
Yijun Wang, Scott Makeig