Results 211 to 220 of about 891,924 (262)

Comparative Study of Complex Parallel Factor Analysis and Parallel Factor Analysis

2019 Prognostics and System Health Management Conference (PHM-Qingdao), 2019
The running time and the convergence between traditional parallel factor trilinear alternating least squares algorithm (TALS) algorithm and complex parallel factor (COMFAC) algorithm is compared by the experiment. The experiment result shows that both methods can obtain good separation performance.
Huilu ZENG, Zhinong LI, Zewen ZHOU
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The Parallel Factor Analysis of Beer Fluorescence

Journal of Fluorescence, 2019
Fluorescence excitation-emission matrices were measured for 111 samples of different types of beer and studied by the parallel factor analysis (PARAFAC). The 5-component PARAFAC model was found to suitably describes the beer fluorescence, accounting for 99.4% of the fluorescence variance in the measured set of samples, and providing the completely ...
Tatjana Dramićanin, Ivana Zeković, Jovana Periša, Miroslav D. Dramićanin   +3 more
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Parallel factor analysis of spider fluorophores

Journal of Photochemistry and Photobiology B: Biology, 2008
Fluorophores from the hemolymph of yellow sac spiders (Cheiracanthium mildei) have been characterized using excitation emission matrix (EEM) fluorescence spectroscopy. This approach provides characterization of fluorophores present in the organism without having to isolate pure samples.
Scott M, Reed, My-Trinh, Do, Susan E, Masta   +2 more
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Parallelism as a Factor in Metrical Analysis

Music Perception, 2002
A model is proposed of the effect of parallelism on meter. It is wellknown that repeated patterns of pitch and rhythm can affect the perception of metrical structure. However, few attempts have been made either to define parallelism precisely or to characterize its effect on metrical analysis.
David Temperley, Christopher Bartlette
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PARAFAC: Parallel factor analysis

Computational Statistics & Data Analysis, 1994
We review the method of Parallel Factor Analysis, which simultaneously fits multiple two-way arrays or ‘slices’ of a three-way array in terms of a common set of factors with differing relative weights in each ‘slice’. Mathematically, it is a straightforward generalization of the bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to ...
Harshman, R. A., Lundy, M. E.
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Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis

Organizational Research Methods, 2004
The decision of how many factors to retain is a critical component of exploratory factor analysis. Evidence is presented that parallel analysis is one of the most accurate factor retention methods while also being one of the most underutilized in management and organizational research.
Hayton JC, Allen DG, Scarpello VG
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Parallel factor analysis in sensor array processing

IEEE Transactions on Signal Processing, 2000
This paper links multiple invariance sensor array processing (MI-SAP) to parallel factor (PARAFAC) analysis, which is a tool rooted in psychometrics and chemometrics. PARAFAC is a common name for low-rank decomposition of three- and higher way arrays.
Nicholas D. Sidiropoulos, Rasmus Bro, Georgios B. Giannakis   +2 more
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A combination of parallel factor and independent component analysis

Signal Processing, 2012
Although CPA (canonical/parallel factor analysis) has a unique solution, the actual computation can be made more robust by incorporating extra constraints. In several applications, the factors in one mode are known to be statistically independent. On the other hand, in Independent Component Analysis (ICA), it often makes sense to impose a Khatri-Rao ...
Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer   +3 more
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On rotational ambiguity in parallel factor analysis

Chemometrics and Intelligent Laboratory Systems, 2010
Abstract Although, in many cases parallel factor analysis (PARAFAC) resolves the trilinear data arrays to the true physical factors that form the data, i.e., unique solution can be found, the algorithm does not always converge to chemically meaningful solutions. Kiers and Smilde [J. Chemom.
H. Abdollahi, S.M. Sajjadi
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