Results 11 to 20 of about 130 (119)

Accelerating block coordinate descent for nonnegative tensor factorization [PDF]

Numerical Linear Algebra with Applications, 2021
Abstract This paper is concerned with improving the empirical convergence speed of block‐coordinate descent algorithms for approximate nonnegative tensor factorization (NTF). We propose an extrapolation strategy in‐between block updates, referred to as heuristic extrapolation with restarts (HER).
Man Shun Ang, Andersen, Cohen, Jeremy E., Gillis, Nicolas, Thi Khanh Hien, Le   +3 more
openaire   +8 more sources

Sparsity-Constrained Coupled Nonnegative Matrix–Tensor Factorization for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Hyperspectral unmixing refers to a source separation problem of decomposing a hyperspectral imagery (HSI) to estimate endmembers, and their corresponding abundances.
Heng-Chao Li, Shuang Liu, Xin-Ru Feng, Shao-Quan Zhang   +3 more
doaj   +1 more source

Non-negative tensor factorization workflow for time series biomedical data

STAR Protocols, 2023
Summary: Non-negative tensor factorization (NTF) enables the extraction of a small number of latent components from high-dimensional biomedical data. However, NTF requires many steps, which is a hurdle to implementation.
Koki Tsuyuzaki, Naoki Yoshida, Tetsuo Ishikawa, Yuki Goshima, Eiryo Kawakami   +4 more
doaj   +1 more source

Video tamper detection method based on nonnegative tensor factorization

网络与信息安全学报, 2017
The authenticity and integrity of video authentication is one of the important contents in information security field.A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering.First of all ...
Xue-li ZHANG,Tian-qiang HUANG,Wei HUANG, Jing LIN   +1 more
doaj   +3 more sources

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

Comparative Analysis of Spatial–Temporal Distribution between Traditional Taxi Service and Emerging Ride-Hailing

ISPRS International Journal of Geo-Information, 2021
The paradigms of taxis and ride-hailing, the two major players in the personal mobility market, are compared systematically and empirically in a unified spatial–temporal context.
Di Wang, Tomio Miwa, Takayuki Morikawa
doaj   +1 more source

Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization

Frontiers in Human Neuroscience, 2021
Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected ...
Xiulin Wang, Xiulin Wang, Wenya Liu, Wenya Liu, Xiaoyu Wang, Zhen Mu, Jing Xu, Yi Chang, Qing Zhang, Jianlin Wu, Fengyu Cong, Fengyu Cong, Fengyu Cong, Fengyu Cong   +13 more
doaj   +1 more source

Generalized Discriminant Orthogonal Nonnegative Tensor Factorization for Facial Expression Recognition

The Scientific World Journal, 2014
In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm.
Zhang XiuJun, Liu Chang
doaj   +1 more source

Localizing hot spots in Poisson radiation data matrices: nonnegative tensor factorization and phase congruency

Journal of Big Data, 2021
Detecting and delineating hot spots in data from radiation sensors is required in applications ranging from monitoring large geospatial areas to imaging small objects in close proximity.
Michael G. Thomason, Benjamin S. Jordan
doaj   +1 more source