Results 41 to 50 of about 9,700 (199)
Bayesian factorizations of big sparse tensors [PDF]
, 2013 It has become routine to collect data that are structured as multiway arrays (tensors). There is an enormous literature on low rank and sparse matrix factorizations, but limited consideration of extensions to the tensor case in statistics.
Bhattacharya, Anirban +3 more
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Journal of Chemometrics, Volume 40, Issue 5, May 2026.ABSTRACT In this study, a new double‐algorithmic chemometric architecture employing continuous wavelet transform (CWT) and parallel factor analysis (PARAFAC) was developed for wavelet‐domain separation of overlapping UV spectra and co‐quantification of analytes in laboratory‐prepared binary mixtures and a commercial tablet formulation.
Erdal Dinç
wiley +1 more source
A Constrained PARAFAC Method for Positive Manifold Data [PDF]
Applied Psychological Measurement, 1992 A set of non-negatively correlated variables, referred to as positive manifold data, display a peculiar pattern of loadings in principal compo nents analysis (PCA). If a small set of principal components is rotated to a simple structure, the variables correlate positively with all components, thus displaying positive manifold. However, this phenomenon
Krijnen, Wim P., Ten Berge, Jos M. F.
openaire +3 more sources
Monitoring panel performance within and between sensory experiments by multi-way analysis [PDF]
, 2008 In sensory analysis a panel of trained assessors evaluates a set of samples according to specific sensory descriptors. The training improves objectivity and reliability of assessments.
Bredie, Wender L. P. +3 more
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ChemPhotoChem, Volume 10, Issue 5, May 2026.Herein, we report on a Ba2+ selective, Ba2+ sensitive, and pH stable fluorescent probe with a high photostability in water (cf. TOC). This fluorescent probe is equipped with a dibenzo‐18‐crown‐6 as a highly selective Ba2+ ionophore and a tetramethylated BODIPY fluorophore.
Thomas Schwarze +7 more
wiley +1 more source
Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates
Journal of Computational and Graphical Statistics, 2023 In immunological and clinical studies, matrix-valued time-series data clustering is increasingly popular. Researchers are interested in finding low-dimensional embedding of subjects based on potentially high-dimensional longitudinal features and investigating relationships between static clinical covariates and the embedding.
openaire +2 more sources
Depth-dependent Photodegradation of Marine Dissolved Organic Matter
Frontiers in Marine Science, 2015 Marine dissolved organic matter (DOM) in surface and deep waters of the eastern Atlantic Ocean and Sargasso Sea was analyzed by excitation emission matrix (EEM) fluorescence spectroscopy and parallel factor analysis (PARAFAC). Photo-degradation with semi-
Stephen Andrew Timko +10 more
doaj +1 more source
Hydrological Processes, Volume 40, Issue 5, May 2026.In the subhumid, wetland‐rich, geologically heterogeneous Boreal Plains region of Canada, we found several controls on stream DOC concentration ([DOC]) and DOM composition: An increase in [DOC] and aromaticity as temperature increases throughout the summer, with temperature trend prevailing over the influence of discharge.
Julia Orlova +3 more
wiley +1 more source
Chemodiversity of dissolved organic matter in the Amazon Basin [PDF]
, 2016 Regions in the Amazon Basin have been associated with specific biogeochemical processes, but a detailed chemical classification of the abundant and ubiquitous dissolved organic matter (DOM), beyond specific indicator compounds and bulk measurements, has ...
Bastos, Wanderley +8 more
core +1 more source
Tensor Decompositions for Modeling Inverse Dynamics
, 2017 Modeling inverse dynamics is crucial for accurate feedforward robot control. The model computes the necessary joint torques, to perform a desired movement.
Baier, Stephan, Tresp, Volker
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