Results 31 to 40 of about 9,700 (199)
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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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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DECODING SSVEP RESPONSES BASED ON PARAFAC DECOMPOSITION [PDF]
Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, 2012 In this position paper, we investigate whether a parallel factor analysis (Parafac) decomposition is beneficial to the decoding of steady-state visual evoked potentials (SSVEP) present in electroencephalogram (EEG) recordings taken from the subject’s scalp.
Manyakov, Nikolay V. +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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Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis [PDF]
, 2014 The widespread use of multi-sensor technology and the emergence of big datasets has highlighted the limitations of standard flat-view matrix models and the necessity to move towards more versatile data analysis tools. We show that higher-order tensors (i.
Caiafa, C. +6 more
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Fast adaptive PARAFAC decomposition algorithm with linear complexity [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 We present a fast adaptive PARAFAC decomposition algorithm with low computational complexity. The proposed algorithm generalizes the Orthonormal Projection Approximation Subspace Tracking (OPAST) approach for tracking a class of third-order tensors which have one dimension grow- ing with time.
Nguyen, Viet-Dung +2 more
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Frontiers in Marine Science, 2015 Connectivity between the terrestrial and marine environment in the Artic is changing as a result of climate change, influencing both freshwater budgets and the supply of carbon to the sea.
Rafael eGonçalves-Araujo +9 more
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Landscape Influence on the Browning of a Lake Watershed in the Adirondack Region of New York, USA
Soil Systems, 2020 Watershed recovery from long-term acidification in the northeastern U.S. has been characterized by an increase in the influx of dissolved organic matter (DOM) into surface waters.
Nicholas A. LoRusso +5 more
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