Results 21 to 30 of about 1,574 (174)
A New Algorithm to Solve Parafac-Model
Behaviormetrika, 1982 PARAFAC is a three mode factor analytic method developed by R.A. Harshman and is useful for data analysis. The fundamental idea says $${x_{ijk}} \approx \sum\limits_s^S {a_{is}}{b_{js}}{c_{ks}}$$ where xijk is given by measurement for i=1, 2…,I, j=1, 2,…, J, k ...
Hayashi, Chikio, Hayashi, Fumi
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IEEE Access, 2018 In this paper, we combine the compressed sensing theory with the parallel factor (PARAFAC) model to present a 2-D direction of arrival (2D-DOA) and a frequency estimation algorithm for an L-shaped array. We first build the multi-delay outputs data as the
Le Xu +3 more
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Analysis of the source of DOM in underground reservoir of coal mine
矿业科学学报, 2020 For an in-depth understanding of the change process of dissolved organic matter(DOM) in water environment of coal mine underground reservoir, this study used the three dimensional fluorescence spectrum(EEMs), combined with PARAFAC model, to analyze ...
Han Jiaming +5 more
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Non-Gaussian Penalized PARAFAC Analysis for fMRI Data
Frontiers in Applied Mathematics and Statistics, 2019 Independent Component Analysis (ICA) method has been used widely and successfully in functional magnetic resonance imaging (fMRI) data analysis for both single and group subjects. As an extension of the ICA, tensorial probabilistic ICA (TPICA) is used to
Jingsai Liang +3 more
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Meikuang Anquan, 2023 Conventional inorganic hydrochemical parameters are difficult to distinguish the water source of coal seam roof water gushing in some mine fields. In order to solve this problem, a mine field in Yuheng Mining Area is taken as the research area.
Junqing SUN +5 more
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Water Science and TechnologyFuel oil is widely used within Eskom, a power generation company in South Africa. Eskom's coal-fired power stations use up to 30,000 L of fuel oil per hour during a cold start-up, a consequence of which results in oil leaks to the dams. Oil contamination
Heena Madhav, Adam Gilmore
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Co-PARAFAC: A Novel Cost-Efficient Scalable Tensor Decomposition Algorithm
IEEE AccessThis paper proposes a novel tensor decomposition method, cooperative parallel factor (Co-PARAFAC), that is devised to achieve higher accuracy with lower computational complexity and memory requirements than the conventional PARAFAC.
Farshad Shams +2 more
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IEEE Access, 2018 In this paper, a novel transmit beamspace (TB)-based unitary parallel factor (PARAFAC) algorithm is proposed for direction-of-departure (DOD) and direction-of-arrival estimation in bistatic multiple-input multiple-output (MIMO) radar.
Baoqing Xu, Yongbo Zhao
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Candecomp/Parafac: From Diverging Components to a Decomposition in Block Terms [PDF]
SIAM Journal on Matrix Analysis and Applications, 2012 Fitting an R-component Candecomp/Parafac (CP) decomposition to a multiway array or higher-order tensor Z is equivalent to finding a best rank-R approximation of Z. Such a best rank-R approximation may not exist due to the fact that the set of multiway arrays with rank at most R is not closed. In this case, trying to compute the approximation results in
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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.
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