Results 151 to 160 of about 1,580 (173)
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Neonatal seizure localization using PARAFAC decomposition
Clinical Neurophysiology, 2009The description and evaluation of two EEG-based algorithms for automatic and objective determination of the seizure location in the neonatal brain as it is reflected on the scalp.Each algorithm extracts the electrical potential distribution of the seizure over the scalp using the higher-order canonical decomposition or Parallel Factor Analysis (PARAFAC)
Deburchgraeve, W +7 more
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Blind PARAFAC receivers for DS-CDMA systems
IEEE Transactions on Signal Processing, 2000This paper links the direct-sequence code-division multiple access (DS-CDMA) multiuser separation-equalization-detection problem to the parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics. Exploiting this link, it derives a deterministic blind PARAFAC DS-CDMA receiver with performance close to non-blind ...
Nicholas D. Sidiropoulos +2 more
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Partial uniqueness in CANDECOMP/PARAFAC
Journal of Chemometrics, 2004AbstractA key property of CANDECOMP/PARAFAC is the essential uniqueness it displays under certain conditions. It has been known for a long time that, when these conditions are not met, partial uniqueness may remain. Whereas considerable progress has been made in the study of conditions for uniqueness, the study of partial uniqueness has lagged behind ...
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Parallelizable PARAFAC decomposition of 3-way tensors
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015This paper introduces a new PARAFAC algorithm for a classof third-order tensors. Particularly, the proposed algorithm isbased on subspace estimation and solving a non-symmetricaljoint diagonalization problem. To deal with large scale problem,a procedure for overcoming scale and permutation ambiguitiesis proposed in a parallel computing scheme leadingto
Nguyen, Viet-Dung +2 more
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Modeling Food Fluorescence with PARAFAC
2018Parallel factor analysis (PARAFAC) of food fluorescence has found many applications in food science, such as in non-contact and non-destructive food characterization, the detection of food adulteration, and the authentication of geographical and botanical origins of food products. This Chapter presents a theoretical background of the PARAFAC method and
Ackovic, Lea Lenhardt +4 more
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Fluorescence spectroscopy and PARAFAC in the analysis of yogurt
Chemometrics and Intelligent Laboratory Systems, 2005Abstract Parallel factor (PARAFAC) analysis and fluorescence spectroscopy were applied in the evaluation of yogurt during storage. Fluorescence landscapes with excitation wavelengths from 270 to 550 nm and emission wavelengths in the range 310–590 nm were obtained from front-face fluorescence measurements directly on yogurt samples during two storage
Christensen, J. +2 more
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Advances in PARAFAC Using Parallel Block Decomposition
2009Parallel factor analysis (PARAFAC) is a multi-way decomposition method which allows to find hidden factors from the raw tensor data with many potential applications in neuroscience, bioinformatics, chemometrics etc [1,2]. The Alternating Least Squares (ALS) algorithm can explain the raw tensor by a small number of rank-one tensors with a high fitness ...
Anh Huy Phan 0001, Andrzej Cichocki
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Improving PARAFAC-ALS performance by initialization
2018The CANDECOMP/PARAFAC (CP) model (Carroll and Chang, 1970; Harshman, 1970) is a trilinear decomposition which provides a low rank approximation of a three-way array in a manner that preserves the multi-mode structure of the data. This is achieved by estimating three sets of parameters, one for each dimension of the array, namely observation units ...
Simonacci V, Gallo M
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