Results 101 to 110 of about 223,331 (198)

A non-negative tensor factorization approach to feature extraction for image analysis

open access: yes, 2016
In this paper, a decomposition method is proposed for Separable Non-negative Tensor Factorization (SNTF), which yields a structure similar to the PARATUCK2 model for the decomposition of non-negative tensors.
Zhiguo Zhang   +8 more
core   +1 more source

Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General $\ell _{q}$ Norm Regularization

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing (HU), an essential procedure for various environmental applications, has garnered significant attention within remote sensing communities. Among different groups of HU methods, nonnegative matrix factorization (NMF)-based ones have
Saeid Gholinejad, Alireza Amiri-Simkooei
doaj   +1 more source

Temporal Network Embedding via Tensor Factorization. [PDF]

open access: yesProc ACM Int Conf Inf Knowl Manag, 2021
Ma J, Zhang Q, Lou J, Xiong L, Ho JC.
europepmc   +1 more source

Systems profiling reveals recurrently dysregulated cytokine signaling responses in ER+ breast cancer patients’ blood

open access: yesnpj Systems Biology and Applications
Cytokines operate in concert to maintain immune homeostasis and coordinate immune responses. In cases of ER+ breast cancer, peripheral immune cells exhibit altered responses to several cytokines, and these alterations are correlated strongly with patient
Brian Orcutt-Jahns   +9 more
doaj   +1 more source

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. [PDF]

open access: yesProc IEEE Int Conf Data Min, 2021
Ma J   +5 more
europepmc   +1 more source

Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins

open access: yes, 2017
To automatically extract medical concepts from raw electronic health records (EHRs), several applications based on machine learning techniques have been proposed.
YU, HWANJO   +9 more
core   +1 more source

Algorithms for Large-Scale Sparse Tensor Factorization [PDF]

open access: yes, 2019
University of Minnesota Ph.D. dissertation. April 2019. Major: Computer Science. Advisor: George Karypis. 1 computer file (PDF); xiv, 153 pages.Tensor factorization is a technique for analyzing data that features interactions of data along three or more
Smith, Shaden
core  

Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization. [PDF]

open access: yesFront Hum Neurosci, 2021
Wang X   +8 more
europepmc   +1 more source

Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization

open access: yes, 2017
Summarization: We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation.
Kostoulas Georgios(http://users.isc.tuc.gr/~gkostoulas)   +7 more
core   +1 more source

Appearance Estimation and Image Segmentation via Tensor Factorization

open access: yesIEEE Open Journal of Signal Processing
Image Segmentation is one of the core tasks in Computer Vision, and solving it often depends on modeling the image appearance data via the color distributions of each of its constituent regions.
Jeova Farias Sales Rocha Neto
doaj   +1 more source

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