Sciweavers

5 search results - page 1 / 1
» Independent Component Analysis Applied to Watermark Extracti...
Sort
View
DELTA
2010
IEEE
13 years 9 months 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 ...
ISBI
2011
IEEE
12 years 8 months ago
Automatic mask generation using independent component analysis in dynamic contrast enhanced-MRI
Studying image intensity change in each pixel in dynamic contrast enhanced (DCE)-MRI data enables differentiation of different tissue types based on their difference in contrast u...
Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Ra...
AIPR
2002
IEEE
13 years 9 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
BMCBI
2006
115views more  BMCBI 2006»
13 years 4 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
BMCBI
2010
155views more  BMCBI 2010»
13 years 4 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe