Results 41 to 50 of about 17,487 (260)

Image Classification Using Low-Rank Regularized Extreme Learning Machine

IEEE Access, 2019
Extreme learning machine (ELM), a least-square-based learning algorithm, is a competitive machine learning method and provides efficient unified learning solutions for the applications of classification and regression.
Qin Li, Yang Liu, Shujian Wang, Quanxue Gao, Xinbo Gao   +4 more
doaj   +1 more source

Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm

IEEE Access, 2021
In this paper, we present a hyper-Laplacian regularized method WHLR-MSC with a new weighted tensor nuclear norm for multi-view subspace clustering. Specifically, we firstly stack the subspace representation matrices of the different views into a tensor ...
Qingjiang Xiao, Shiqiang Du, Jinmei Song, Yao Yu, Yixuan Huang   +4 more
doaj   +1 more source

Low Complexity Modeling of Cross-Spectral Matrix and Its Application in the Non-Synchronous Measurements of Microphones Array

IEEE Access, 2021
The resolution related with the image quality of acoustic imaging using a microphone array is limited by the size and density of the array. However, non-synchronous measurements can exceed the constraints defined by measurements with a single fixed array.
Liang Yu, Yi Fan, Ning Chu, Qian Huang, Yue Ning, Peng Hou   +5 more
doaj   +1 more source

A cross‐project defect prediction method based on multi‐adaptation and nuclear norm

IET Software, 2022
Cross‐project defect prediction (CPDP) is an important research direction in software defect prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic information in the source code.
Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng   +6 more
doaj   +1 more source

An iterative thresholding-based algorithm for brain–computer interface (BCI) application

Scientific African, 2023
The EEG signals are recorded using surgical (invasive) or non-surgical (non-invasive) BCI neuroimaging modalities. Basically, we are dealing with a huge amount of data and long signal recordings.The classic solution to deal with the huge amount of data ...
Djerassembe Laouhingamaye Frédéric, Awatif Rouijel, Lahsen-Cherif Iyad, Hassan Elghazi   +3 more
doaj   +1 more source

Large factor model estimation by nuclear norm plus $l_1$ norm penalization

J. Multivar. Anal., 2021
This paper provides a comprehensive estimation framework via nuclear norm plus $l_1$ norm penalization for high-dimensional approximate factor models with a sparse residual covariance. The underlying assumptions allow for non-pervasive latent eigenvalues and a prominent residual covariance pattern.
Farne, Matteo, Montanari, Angela
openaire   +4 more sources

Framing Norm Through Riskification: The International Campaign to Abolish Nuclear Weapons and the Anti-Nuclear Weapons Norm

Journal for Peace and Nuclear Disarmament
This article combines research strands on international norms, framing, and riskification to elaborate the framing methods used by the International Campaign to Abolish Nuclear Weapons (ICAN) to effect an anti-nuclear weapons norm around the Treaty for ...
Christian Harijanto
doaj   +1 more source

Hyperspectral-Multispectral Image Fusion via Tensor Ring and Subspace Decompositions

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Fusion from a spatially low resolution hyperspectral image (LR-HSI) and a spectrally low resolution multispectral image (MSI) to produce a high spatial-spectral HSI (HR-HSI), known as hyperspectral super resolution, has risen to a preferred topic for ...
Honghui Xu, Mengjie Qin, Sheng yong Chen, Yuhui Zheng, Jian wei Zheng   +4 more
doaj   +1 more source

Multi-View Human Activity Recognition in Distributed Camera Sensor Networks

Sensors, 2013
With the increasing demand on the usage of smart and networked cameras in intelligent and ambient technology environments, development of algorithms for such resource-distributed networks are of great interest.
Mahmood Fathy, Ehsan Adeli Mosabbeb, Kaamran Raahemifar   +2 more
doaj   +1 more source

An Efficient Tensor Completion Method Via New Latent Nuclear Norm

IEEE Access, 2020
In tensor completion, the latent nuclear norm is commonly used to induce low-rank structure, while substantially failing to capture the global information due to the utilization of unbalanced unfolding schemes.
Jinshi Yu, Weijun Sun, Yuning Qiu, Yonghui Huang   +3 more
doaj   +1 more source