The distributions of fluorescent components in dissolved organic matter (DOM) from Ise Bay, Japan, were determined by excitation emission matrix (EEM) fluorescence spectroscopy combined with parallel factor analysis (PARAFAC). Three terrestrial humic-like, one marine humic-like, and three non–humic-like fluorescent components were identified by PARAFAC, and the environmental dynamics of individ...

In the past few years, multiple-input multiple-output (MIMO) radar with electromagnetic vector sensor (EMVS) array, or called EMVS-MIMO radar, has attracted extensive attention in target detection. Unlike traditional scalar sensor-based MIMO an can not only provides a two-dimensional (2D) direction finding of targets but also offers 2D polarization parameter estimation, which may be important f...

The big data pattern analysis suffers from incorrect responses due to missing entries in the real world. Data collected for digital movie platforms like Netflix and intelligent transportation systems is Spatio-temporal data. Extracting latent explicit features this a challenge. We present high dimensional imputation problem as higher-order tensor decomposition. regularized biased PARAFAC decomp...

Tensor representation and tensor decompositions are natural approaches to deal with large amounts of data with multiple aspects and high dimensionality in modern applications, such as environmental analysis, chemometrices, pharmaceutical analysis, spectral analysis, neuroscience. The two most popular decomposition/factorization models for N -th order tensors are the Tucker model and the more re...

Land-ocean dissolved organic matter (DOM) transport is a significant and changing term in global biogeochemical cycles which increasing as result of human perturbation, including land-use change. Knowledge the behavior fate transported DOM lacking, particularly tropics subtropics where change occurring rapidly. We used Parallel Factor (PARAFAC) Analysis to investigate how influenced composition...

Although river mixing occurs widely in nature, the corresponding evolution of dissolved organic matter (DOM) composition remains poorly understood. Here, surface water samples were collected at multiple transects lower Athabasca River (LAR) under base-flow conditions. Asymmetric flow field-flow fractionation (AF4) coupled to online excitation-emission measurements (EEMs) and parallel factor ana...

We introduce a Bayesian extension of the tensor factorization problem to multiple coupled tensors. For a single tensor it reduces to standard PARAFAC-type Bayesian factorization, and for two tensors it is the first Bayesian Tensor Canonical Correlation Analysis method. It can also be seen to solve a tensorial extension of the recent Group Factor Analysis problem. The method decomposes the set o...

The vast majority of existing methods for ranking gene datasets, do not include or take into account in their exported results other information that might accompany the genes, such as specie or terms. Given a higher order biological data set, we propose a methodology based on multilinear algebra for ranking genes across multiple dimensions. We apply PARAFAC decomposition on a Gene Ontology dat...

Several explicit identifiability results are derived for deterministic blind beamforming in incoherent multipath with small delay spread. For example, it is shown that if the sum of spatial and fractional sampling diversities exceeds two times the total number of paths, then identifiability can be guaranteed even for one symbol snapshot. The tools come from the theory of low-rank three-way arra...