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DELTA
2010
IEEE
14 years 16 days ago
Independent Component Analysis Applied to Watermark Extraction and its Implemented Model on FPGAs
: Most of published audio watermark algorithms are suffered a trade-off between inaudibility and detectibility, and the detection performance depends greatly on the strength of noi...
Thuong Le-Tien, Dien Vo-Ngoc, Lan Ngo-Hoang, Sung ...
BMCBI
2010
100views more  BMCBI 2010»
13 years 7 months ago
Trimming of mammalian transcriptional networks using network component analysis
Background: Network Component Analysis (NCA) has been used to deduce the activities of transcription factors (TFs) from gene expression data and the TF-gene binding relationship. ...
Linh M. Tran, Daniel R. Hyduke, James C. Liao
NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
ICANN
2010
Springer
13 years 7 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
IJCNN
2006
IEEE
14 years 1 months ago
Generalizing Independent Component Analysis for Two Related Data Sets
— We introduce in this paper methods for finding mutually corresponding dependent components from two different but related data sets in an unsupervised (blind) manner. The basi...
Juha Karhunen, Tomas Ukkonen