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WSCG
2004
188views more  WSCG 2004»
15 years 6 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...
IBPRIA
2003
Springer
15 years 10 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
BMCBI
2006
183views more  BMCBI 2006»
15 years 5 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...
BMCBI
2005
201views more  BMCBI 2005»
15 years 4 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
VLSID
2005
IEEE
285views VLSI» more  VLSID 2005»
16 years 5 months ago
Power Monitors: A Framework for System-Level Power Estimation Using Heterogeneous Power Models
Abstract--Power analysis early in the design cycle is critical for the design of lowpower systems. With the move to system-level specifications and design methodologies, there has ...
Nikhil Bansal, Kanishka Lahiri, Anand Raghunathan,...