Results 131 to 140 of about 1,590 (175)
What Can Fluorescence Tell Us About Wine? [PDF]
Sadowska-Bartosz I, Bartosz G.
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Fate of Dissolved Organic Matter and Cooperation Behavior of Coagulation: Fenton Combined with MBR Treatment for Pharmaceutical Tail Water. [PDF]
Wang J, Zhao C, Qian F, Su J, Gao H.
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The Intrinsic Link between Optical Properties and Toxicity of Extractable Organic Matter in Combustion Particles: Mediated by Polycyclic Aromatic Compounds. [PDF]
Yao C +10 more
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Tensor Based Semi-Blind Channel Estimation for Reconfigurable Intelligent Surface-Aided Multiple-Input Multiple-Output Communication Systems. [PDF]
Li N +6 more
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Chemometrics and Intelligent Laboratory Systems, 2005
Abstract Missing values are a common occurrence in chemometrics data, and different approaches have been proposed to deal with them. In this work, two different concepts based on two algorithms are compared in their efficiency in dealing with incomplete data when fitting the PARAFAC model: single imputation (SI) combined with a standard PARAFAC ...
Rasmus Bro, Giorgio Tomasi
exaly +2 more sources
Abstract Missing values are a common occurrence in chemometrics data, and different approaches have been proposed to deal with them. In this work, two different concepts based on two algorithms are compared in their efficiency in dealing with incomplete data when fitting the PARAFAC model: single imputation (SI) combined with a standard PARAFAC ...
Rasmus Bro, Giorgio Tomasi
exaly +2 more sources
A comparison of algorithms for fitting the PARAFAC model
Computational Statistics and Data Analysis, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rasmus Bro, Giorgio Tomasi
exaly +4 more sources
On Uniqueness in Candecomp/Parafac
Psychometrika, 2002One of the basic issues in the analysis of three-way arrays by CANDECOMP/PARAFAC (CP) has been the question of uniqueness of the decomposition. Kruskal (1977) has proved that uniqueness is guaranteed when the sum of the k -ranks of the three component matrices involved is at least twice the ...
Ten Berge, J.M.F., Sidiropoulos, N.D.
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PARAFAC algorithms for large-scale problems
Neurocomputing, 2011Parallel factor analysis (PARAFAC) is a tensor (multiway array) factorization method which allows to find hidden factors (component matrices) from a multidimensional data. Most of the existing algorithms for the PARAFAC, especially the alternating least squares (ALS) algorithm need to compute Khatri-Rao products of tall factors and multiplication of ...
Anh-Huy Phan, Andrzej Cichocki
exaly +2 more sources
Constrained Candecomp/Parafac via the Lasso
Psychometrika, 2013The Candecomp/Parafac (CP) model is a well-known tool for summarizing a three-way array by extracting a limited number of components. Unfortunately, in some cases, the model suffers from the so-called degeneracy, that is a solution with diverging and uninterpretable components.
GIORDANI, Paolo +2 more
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