Results 241 to 250 of about 199,904 (291)
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2006
When applying independent component analysis (ICA), sometimes that the connections between the observed mixtures and the recovered independent components (or the original sources) to be sparse, to make the interpretation easier or to reduce the model complexity.
Kun Zhang 0001, Lai-Wan Chan
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When applying independent component analysis (ICA), sometimes that the connections between the observed mixtures and the recovered independent components (or the original sources) to be sparse, to make the interpretation easier or to reduce the model complexity.
Kun Zhang 0001, Lai-Wan Chan
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Complex ICA by Negentropy Maximization
IEEE Transactions on Neural Networks, 2008In this paper, we use complex analytic functions to achieve independent component analysis (ICA) by maximization of non-Gaussianity and introduce the complex maximization of non-Gaussianity (CMN) algorithm. We derive both a gradient-descent and a quasi-Newton algorithm that use the full second-order statistics providing superior performance with ...
Mike Novey, Tülay Adali
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ICA and kernel ICA for change detection in multispectral remote sensing images
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009In this paper Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Kernel Independent Component Analysis (KICA) are studied and compared in the framework of unsupervised change detection in multitemporal remote sensing images. Different architectures for using the above-mentioned techniques in change detection are investigated,
Marchesi, Silvia, Bruzzone, Lorenzo
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2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), 2005
Independent component analysis is becoming a popular exploratory method for analysing data from FMRI experiments. Its application, however, has been somewhat restricted by the lack of ability to quantify statistical significance. We present an integrated approach to probabilistic ICA for FMRI data that allows for nonsquare mixing in the presence of ...
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Independent component analysis is becoming a popular exploratory method for analysing data from FMRI experiments. Its application, however, has been somewhat restricted by the lack of ability to quantify statistical significance. We present an integrated approach to probabilistic ICA for FMRI data that allows for nonsquare mixing in the presence of ...
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ICA by Maximizing Non-stability
2009We propose a new approach for ICA by maximizing the non-stability contrast function in this paper. This new version of ICA is motivated by the Generalized Central Limit Theorem (GCLT), an important extension of classical CLT. We demonstrate that the classical ICA based on maximization of non-Gaussianity is a special case of the new approach of ICA we ...
Wang B, Kuruoglu E E, Zhang J
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Voditelj(ica) ili pratitelj(ica)?
Injigo, 2014Članak obrađuje etimologiju i značenje riječi voditelj(ica) i pratitelj(ica) u ignacijanskim duhovnim vježbama.
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2015
The general autotypical synthesis equation for an N-color-printing image in a new color space ICaS is presented, and the basic principle of the synthesis of arbitrary color images with two color inks and black inks that meets the condition of minimum compositing of color inks is formulated.
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The general autotypical synthesis equation for an N-color-printing image in a new color space ICaS is presented, and the basic principle of the synthesis of arbitrary color images with two color inks and black inks that meets the condition of minimum compositing of color inks is formulated.
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