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Ivica Kopriva

Showing results (1-10 of 22) with videos related to

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Optics Letters|December 14, 2005
Single-frame multichannel blind deconvolution by nonnegative matrix factorization with sparseness constraintsIvica Kopriva
Optics Express|August 20, 2010
Tensor factorization for model-free space-variant blind deconvolution of the single- and multi-frame multi-spectral imageIvica Kopriva
Optics Letters|September 17, 2009
3D tensor factorization approach to single-frame model-free blind-image deconvolutionIvica Kopriva
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 16, 2007
Approach to blind image deconvolution by multiscale subband decomposition and independent component analysisIvica Kopriva
IEEE Transactions on Cybernetics|December 19, 2018
l<sub>0</sub> -Motivated Low-Rank Sparse Subspace ClusteringMaria Brbic, Ivica Kopriva
Optics Letters|October 14, 2009
Blind multispectral image decomposition by 3D nonnegative tensor factorizationIvica Kopriva, Andrzej Cichocki
Journal of Mass Spectrometry : JMS|August 12, 2009
Multi-component analysis: blind extraction of pure components mass spectra using sparse component analysisIvica Kopriva, Ivanka Jerić
Analytical Chemistry|February 6, 2010
Blind separation of analytes in nuclear magnetic resonance spectroscopy and mass spectrometry: sparseness-based robust multicomponent analysisIvica Kopriva, Ivanka Jerić
BMC Bioinformatics|January 3, 2012
A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levelsIvica Kopriva, Marko Filipović
Analytica Chimica Acta|October 8, 2009
Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: novel solution obtained by sparse component analysis-based blind decompositionIvica Kopriva, Ivanka Jerić, Vilko Smrecki
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Optics Letters|December 14, 2005
Single-frame multichannel blind deconvolution by nonnegative matrix factorization with sparseness constraintsIvica Kopriva
Optics Express|August 20, 2010
Tensor factorization for model-free space-variant blind deconvolution of the single- and multi-frame multi-spectral imageIvica Kopriva
Optics Letters|September 17, 2009
3D tensor factorization approach to single-frame model-free blind-image deconvolutionIvica Kopriva
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 16, 2007
Approach to blind image deconvolution by multiscale subband decomposition and independent component analysisIvica Kopriva
IEEE Transactions on Cybernetics|December 19, 2018
l<sub>0</sub> -Motivated Low-Rank Sparse Subspace ClusteringMaria Brbic, Ivica Kopriva
Optics Letters|October 14, 2009
Blind multispectral image decomposition by 3D nonnegative tensor factorizationIvica Kopriva, Andrzej Cichocki
Journal of Mass Spectrometry : JMS|August 12, 2009
Multi-component analysis: blind extraction of pure components mass spectra using sparse component analysisIvica Kopriva, Ivanka Jerić
Analytical Chemistry|February 6, 2010
Blind separation of analytes in nuclear magnetic resonance spectroscopy and mass spectrometry: sparseness-based robust multicomponent analysisIvica Kopriva, Ivanka Jerić
BMC Bioinformatics|January 3, 2012
A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levelsIvica Kopriva, Marko Filipović
Analytica Chimica Acta|October 8, 2009
Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: novel solution obtained by sparse component analysis-based blind decompositionIvica Kopriva, Ivanka Jerić, Vilko Smrecki
Pageof 3