Tensor decomposition for dimension reduction
Sign Up to like & getrecommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1482
Abstract: Tensor data are data with multiway array structure. They are often very high dimensional and are routinely encountered in many scientific fields. Dimension reduction is the technique of reducing the number of underlying variables for… read more here.
Keywords: decomposition dimension; dimension reduction; tensor decomposition; tensor ... See more keywords
Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition
Sign Up to like & getrecommendations! Published in 2019 at "Brain Topography"
DOI: 10.1007/s10548-019-00750-8
Abstract: The waveform in the time domain, spectrum in the frequency domain, and topography in the space domain of component(s) of interest are the fundamental indices in neuroscience research. Despite the application of time–frequency analysis (TFA)… read more here.
Keywords: topography; tensor decomposition; interest; erp data ... See more keywords
Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion
Sign Up to like & getrecommendations! Published in 2019 at "Machine Learning"
DOI: 10.1007/s10994-019-05846-7
Abstract: In recent studies, tensor ring decomposition (TRD) has become a promising model for tensor completion. However, TRD suffers from the rank selection problem due to the undetermined multilinear rank. For tensor decomposition with missing entries,… read more here.
Keywords: tensor decomposition; completion; tensor; tensor ring ... See more keywords
Automatic colourization of grayscale images based on tensor decomposition
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DOI: 10.1007/s11042-017-5419-x
Abstract: In this paper a colourizing technique based on some tensor properties is proposed. Toward this goal, it is clarified that tensor decomposition possesses the ability of extracting and gathering overall colour information. The methodology considers… read more here.
Keywords: colour information; based tensor; tensor decomposition;
A tensor decomposition based collaborative filtering algorithm for time-aware POI recommendation in LBSN
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11407-9
Abstract: Point of interest (POI) recommendation problem in location based social network (LBSN) is of great importance and the challenge lies in the data sparsity, implicit user feedback and personalized preference. To improve the precision of… read more here.
Keywords: tensor decomposition; recommendation; poi recommendation; decomposition based ... See more keywords
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition
Sign Up to like & getrecommendations! Published in 2018 at "Cognitive Computation"
DOI: 10.1007/s12559-018-9587-4
Abstract: Multiway data are widely observed in neuroscience, health informatics, food science, etc. Tensor decomposition is an important technique for capturing high-order interactions among such multiway data. Classical tensor decomposition methods, such as the Tucker decomposition… read more here.
Keywords: tensor decomposition; neural networks; neuralcp bayesian; tensor ... See more keywords
Partial tensor decomposition for decoupling isogeometric Galerkin discretizations
Sign Up to like & getrecommendations! Published in 2018 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2018.03.026
Abstract: Abstract System matrix assembly for isogeometric (i.e., spline-based) discretizations of partial differential equations is more challenging than for classical finite elements, due to the increased polynomial degrees and the larger (and hence more overlapping) supports… read more here.
Keywords: partial tensor; tensor decomposition; decomposition decoupling; discretizations partial ... See more keywords
Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-13003-0
Abstract: Identifying drug target genes in gene expression profiles is not straightforward. Because a drug targets proteins and not mRNAs, the mRNA expression of drug target genes is not always altered. In addition, the interaction between… read more here.
Keywords: tensor decomposition; analysis; gene expression; drug ... See more keywords
Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1938083
Abstract: Multi-dimensional tensor data has gained increasing attention in recent years, especially in biomedical imaging analyses. However, most existing tensor models are only based on the mean information... read more here.
Keywords: application spatial; tensor decomposition; correlation tensor; tensor ... See more keywords
Multi-channel EEG epileptic spike detection by a new method of tensor decomposition.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/ab5247
Abstract: OBJECTIVE Epilepsy is one of the most common brain disorders. For epilepsy diagnosis or treatment, the neurologist needs to observe epileptic spikes from electroencephalography (EEG) data. Since multi-channel EEG records can be naturally represented by… read more here.
Keywords: tensor decomposition; tensor; method; epileptic spikes ... See more keywords
Coupled Tensor Decomposition for Hyperspectral Pansharpening
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2850340
Abstract: This paper aims to effectively preserve the spatial and spectral information of hyperspectral (HS) images. For this purpose, the author proposed a new image fusion method based on coupled tensor decomposition (CTD). First, the wanted… read more here.
Keywords: tensor decomposition; hyperspectral pansharpening; tensor; coupled tensor ... See more keywords