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IJCNN
2006
IEEE
15 years 3 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
IWANN
2005
Springer
15 years 3 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...
IEICET
2010
132views more  IEICET 2010»
14 years 8 months ago
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers
Estimating the ratio of two probability density functions (a.k.a. the importance) has recently gathered a great deal of attention since importance estimators can be used for solvi...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, J...
ISOLA
2010
Springer
14 years 8 months ago
An Interface Algebra for Estimating Worst-Case Traversal Times in Component Networks
Abstract. Interface-based design relies on the idea that different components of a system may be developed independently and a system designer can connect them together only if th...
Nikolay Stoimenov, Samarjit Chakraborty, Lothar Th...
ICPR
2004
IEEE
15 years 11 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren