Results 61 to 70 of about 223,331 (198)

Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing

Remote Sensing, 2022
Recently, unmixing methods based on nonnegative tensor factorization have played an important role in the decomposition of hyperspectral mixed pixels.
Xinxi Feng, Le Han, Le Dong
doaj   +1 more source

Application of Nonnegative Tensor Factorization for neutron-gamma discrimination of Monte Carlo simulated fission chamber’s output signals

Results in Physics, 2017
For efficient exploitation of research reactors, it is important to discern neutron flux distribution inside the reactor with the best possible precision. For this reason, fission and ionization chambers are used to measure the neutron field.
Mounia Laassiri, El-Mehdi Hamzaoui, Rajaa Cherkaoui El Moursli   +2 more
doaj   +1 more source

Efficient Weighted-Adaptive Sparse Constrained Nonnegative Tensor Factorization for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral unmixing aims to separate pure materials and their corresponding proportions that constitute the mixed pixels of hyperspectral imagery (HSI). Recently, the matrix-vector nonnegative tensor factorization (MV-NTF) has attracted wide attention
Ping Yang, Ting-Zhu Huang, Jie Huang, Jin-Ju Wang   +3 more
doaj   +1 more source

DFacTo: Distributed Factorization of Tensors

, 2014
Under review for NIPS ...
Joon Hee Choi, S. Vishwanathan
openaire   +3 more sources

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing

, 2018
Hyperspectral unmixing aims at decomposing a hyperspectral image (HSI) into a number of constituted materials and associated proportions. Recently, nonnegative tensor factorization (NTF) based methods have been proved effective and natural for ...
Jingzhou Chen, Jun Zhou, Chen, Jingzhou, Zhou, Jun, Qian, Yuntao, Yuntao Qian, Xiong, Fengchao, Fengchao Xiong   +7 more
core   +1 more source

Plane + Parallax, Tensors and Factorization [PDF]

, 2000
We study the special form that the general multi-image tensor formalism takes under the plane + parallax decomposition, including matching tensors and constraints, closure and depth recovery relations, and inter-tensor consistency constraints. Plane + parallax alignment greatly simplifies the algebra, and uncovers the underlying geometric content.
openaire   +2 more sources

Modelling relational data using Bayesian clustered tensor factorization [PDF]

, 2017
We consider the problem of learning probabilistic models for complex relational structures between various types of objects. A model can help us "understand" a dataset of relational facts in at least two ways, by finding interpretable structure in the ...
Salakhutdinov, Ruslan, Sutskever, Ilya, Tenenbaum, Joshua B.   +2 more
core  

Enhanced tensor factorization framework using non-negative and probabilistic tensor factorization approaches for microblogging content propagation modelling

, 2017
With the aim of identifying the user’s preferences, Content propagation modeling from the micro-blogging sites aids diverse organizations. In existing studies, four user behavior aspects were used by the content propagation model that is to say topic ...
A. Kavitha, A. Marimuthu, N. Baggyalakshmi   +2 more
core   +1 more source

Twist-3 contributions in semi-inclusive DIS with transversely polarized target

Physics Letters B, 2016
We study semi-inclusive DIS with a transversely polarized target in the approach of collinear factorization. The effects related to the transverse polarization are at twist-3.
A.P. Chen, J.P. Ma, G.P. Zhang
doaj   +1 more source

Multiple Linked Tensor Factorization

Journal of Computational and Graphical Statistics
26 pages, 4 figures, 7 ...
Zhiyu Kang, Raghavendra B. Rao, Eric F. Lock   +2 more
openaire   +2 more sources