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DELTA
2010
IEEE
14 years 2 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 ...
ICA
2007
Springer
14 years 25 days ago
Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem
We propose a new method for estimating the mixing matrix, A, in the linear model x(t) = As(t), t = 1, . . . , T, for the problem of underdetermined Sparse Component Analysis (SCA)....
Nima Noorshams, Massoud Babaie-Zadeh, Christian Ju...
ICASSP
2009
IEEE
14 years 25 days ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
14 years 19 days ago
A reconfigurable architecture for network intrusion detection using principal component analysis
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary
MVA
2007
189views Computer Vision» more  MVA 2007»
13 years 10 months ago
Localization of Optic Disk Using Independent Component Analysis and Modified Structural Similarity Measure
Localization and segmentation of Optic Disk (OD) is an important prerequisite for automatic detection of Diabetic Retinopathy (DR) from digital retinal fundus images. Considerable...
S. Balasubramanian, Srikanth Khanna, V. Chandrasek...