Results 51 to 60 of about 223,331 (198)

Transverse momentum dependent operator expansion at next-to-leading power

Journal of High Energy Physics, 2022
We develop a method of transverse momentum dependent (TMD) operator expansion that yields the TMD factorization theorem on the operator level. The TMD operators are systematically ordered with respect to TMD-twist, which allows a certain separation of ...
Alexey Vladimirov, Valentin Moos, Ignazio Scimemi   +2 more
doaj   +1 more source

Cross-domain based Event Recommendation using Tensor Factorization

Open Computer Science, 2016
Context in the form of meta-data has been accredited as an important component in cross-domain collaborative filtering (CDCF). In this research paper CDCF concept is used to exploit event information (context) from two UI matrices to allow the ...
Arora Anuja, Taneja Vaibhav, Parashar Sonali, Mishra Apurva   +3 more
doaj   +1 more source

Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

Applied Sciences, 2019
The incipient damages of mechanical equipment excite weak impulse vibration, which is hidden, almost unobservable, in the collected signal, making fault detection and failure prevention at the inchoate stage rather challenging.
Lin Liang, Haobin Wen, Fei Liu, Guang Li, Maolin Li   +4 more
doaj   +1 more source

Scalable tensor factorizations for incomplete data [PDF]

Chemometrics and Intelligent Laboratory Systems, 2011
The problem of incomplete data - i.e., data with missing or unknown values - in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer vision, communication networks, etc.
Acar, Evrim, Dunlavy, Daniel M., Kolda, Tamara G., Morup, Morten   +3 more
openaire   +3 more sources

Multimodal approach to estimate the ocular movements during EEG recordings: a coupled tensor factorization method

, 2015
International audienceThis paper deals with coupled tensor factorization. A relaxed criterion derived from the advanced coupled matrix-tensor factorization (ACMTF) proposed by Acar et al. is described.
Rivet, Bertrand, Duda, Marc, Guérin-Dugué, Anne, Jutten, Christian, Bertrand Rivet, Pierre Comon, Marc Duda, Anne Guerin-Dugue, Christian Jutten, Comon, Pierre   +9 more
core   +1 more source

Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis

Complexity, 2019
Coupled matrix and tensor factorizations have been successfully used in many data fusion scenarios where datasets are assumed to be exactly coupled.
Qing Wu, Jie Wang, Jin Fan, Gang Xu, Jia Wu, Blake Johnson, Xingfei Li, Quan Do, Ruiquan Ge   +8 more
doaj   +1 more source

Tensor Pca for Factor Models

Journal of Econometrics
Modern empirical analysis often relies on high-dimensional panel datasets with non-negligible cross-sectional and time-series correlations. Factor models are natural for capturing such dependencies. A tensor factor model describes the $d$-dimensional panel as a sum of a reduced rank component and an idiosyncratic noise, generalizing traditional factor ...
Andrii Babii, Eric Ghysels, Junsu Pan
openaire   +2 more sources

Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets.

, 2018
International audienceIn this work we present a novel algorithm for nonnegative tensor factorization (NTF). Standard NTF algorithms are very restricted in the size of tensors that can be decomposed.
Vigneron, Vincent, Elmar Langlang, Kodewitz, Andreas, Ana Maria Tome, da Costa, Michele Nazareth, Langlang, Elmar, Vincent Vigneron, Tome, Ana Maria, Michele Nazareth da Costa, Andreas Kodewitz   +9 more
core   +1 more source

Harmonic Factorization and Reconstruction of the Elasticity Tensor [PDF]

Journal of Elasticity, 2017
In this paper, we propose a factorization of a fourth-order harmonic tensor into second-order tensors. We obtain moreover explicit equivariant reconstruction formulas, using second-order covariants, for transverse isotropic and orthotropic harmonic fourth-order tensors, and for trigonal and tetragonal harmonic fourth-order tensors up to a cubic fourth ...
Olive, Marc, Kolev, Boris, Desmorat, Boris, Desmorat, Rodrigue   +3 more
openaire   +4 more sources

Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing

, 2020
Hyperspectral unmixing decomposes hyperspectral images (HSI) into a collection of constituent materials or end-members and their fractions, i.e., abundances. Nonnegative tensor factorization (NTF) has been utilized thanks to its ability of preserving all
Jun Zhou, Xiong, F, Yuntao Qian, Zhou, J, Jianfeng Lu, Lu, J, Qian, K, Kun Qian, Fengchao Xiong, Qian, Y   +9 more
core   +1 more source