Results 101 to 110 of about 223,331 (198)
A non-negative tensor factorization approach to feature extraction for image analysis
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
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]
Ma J, Zhang Q, Lou J, Xiong L, Ho JC.
europepmc +1 more source
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]
Ma J +5 more
europepmc +1 more source
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]
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]
Wang X +8 more
europepmc +1 more source
Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization
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
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

