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» Blind Deconvolution Using the Relative Newton Method
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IWANN
2005
Springer
14 years 1 months ago
Robust Blind Image Watermarking with Independent Component Analysis: A Embedding Algorithm
Abstract. The authors propose a new solution to the blind robust watermarking of digital images. In this approach we embed the watermark into the independent components of the imag...
Juan José Murillo-Fuentes, Rafael Boloix-To...
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
14 years 1 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
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
IJON
2007
99views more  IJON 2007»
13 years 7 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
NIPS
2003
13 years 8 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...