Search Results - Deep high-order tensor convolutional sparse coding (CSC)*

Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification.

Authors: Cheng, Chunbo Li, Hong Peng, Jiangtao et al.

Source: IEEE Transactions on Geoscience & Remote Sensing. Mar2022, Vol. 60, p1-11. 11p.

Subject Terms: *FEATURE extraction, *IMAGE compression, *DEEP learning, *CLASSIFICATION

A Two-Stage Convolutional Sparse Coding Network for Hyperspectral Image Classification.

Authors: Cheng, Chunbo Peng, Jiangtao Cui, Wenjing

Source: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p

基于深度展开和双流网络的高光谱图像融合. (Chinese)

Alternate Title: Hyperspectral Image Fusion via Deep Unfolding and Dual‑stream Networks. (English)

Authors: 刘丛 姚佳浩

Source: Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li; Nov2023, Vol. 38 Issue 6, p1406-1421, 16p

MD 3 : Model-Driven Deep Remotely Sensed Image Denoising.

Authors: Huang, Zhenghua Zhu, Zifan Zhang, Yaozong et al.

Source: Remote Sensing; Jan2023, Vol. 15 Issue 2, p445, 20p

Subject Terms: ADDITIVE white Gaussian noise, IMAGE denoising, NEURAL codes

A comprehensive review of machine learning and deep learning models for non-intrusive load monitoring: performance, analyses, practical insights, and emerging trends.

Authors: Saleem, Muhammad Hammad Taha, Muhammad Rehmani, Muhammad Asif Ali et al.

Source: Applied Intelligence; Oct2025, Vol. 55 Issue 15, p1-36, 36p

A Deep Sparse Representation with Random Dictionary for Hyperspectral Image Classification.

Authors: Xia, Tian Cheng, Chunbo Cui, Wenjing

Source: International Journal of Wavelets, Multiresolution & Information Processing; Sep2023, Vol. 21 Issue 5, p1-22, 22p

Subject Terms: DEEP learning, IMAGE recognition (Computer vision), FEATURE extraction

Theories, algorithms and applications in tensor learning.

Authors: Deng, Xiaowu Shi, Yuanquan Yao, Dunhong

Source: Applied Intelligence; Sep2023, Vol. 53 Issue 17, p20514-20534, 21p

Subject Terms: MACHINE learning, DEEP learning, TENSOR algebra, ALGORITHMS, WIRELESS Internet, TELECOMMUNICATION

A Systematic Survey of General Sparse Matrix-matrix Multiplication.

Authors: JIANHUA GAO WEIXING JI FANGLI CHANG et al.

Source: ACM Computing Surveys; Dec2023, Vol. 55 Issue 12, p1-36, 36p

Subject Terms: MULTIPLICATION, ARCHITECTURAL design, SCIENTIFIC computing, MATHEMATICAL optimization, DEEP learning, PARALLEL processing

Vlasov methods in space physics and astrophysics.

Authors: Palmroth, Minna Ganse, Urs Pfau-Kempf, Yann et al.

Source: Living Reviews in Computational Astrophysics; 11/14/2025, Vol. 11 Issue 1, p1-81, 81p

2023 World Molecular Imaging Congress Program.

Source: Molecular Imaging & Biology; Jan2025, Vol. 27 Issue 1, p1-759, 759p

Subject Terms: MEDICAL sciences, MAGNETIC particle imaging, MOLECULAR biology, BIOTECHNOLOGY, NONINVASIVE diagnostic tests, DEEP learning, COINCIDENCE, GLYCOLYSIS

EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks.

Authors: Ye, Bodian Gao, Min Zhan, Xiu-Xiu et al.

Source: Humanities & Social Sciences Communications; 8/9/2025, Vol. 12 Issue 1, p1-19, 19p

Subject Terms: HYPERGRAPHS, LEARNING, SCIENTIFIC community, DATA analysis, OPEN source software, MATHEMATICAL optimization

CDFAN: Cross-Domain Fusion Attention Network for Pansharpening.

Authors: Ding, Jinting Xu, Honghui Zhou, Shengjun

Source: Entropy; Jun2025, Vol. 27 Issue 6, p567, 24p

Subject Terms: DISCRETE wavelet transforms, INFORMATION theory, REMOTE sensing, ENTROPY

Dual-input ultralight multi-head self-attention learning network for hyperspectral image classification.

Authors: Li, Xinhao Xu, Mingming Liu, Shanwei et al.

Source: International Journal of Remote Sensing; Feb2024, Vol. 45 Issue 4, p1277-1303, 27p

Subject Terms: IMAGE recognition (Computer vision), DEEP learning, PROCESS capability, ELECTRONIC data processing, DATA compression, DATA mining

MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification.

Authors: Zheng, Qinghe Zhao, Penghui Zhang, Deliang et al.

Source: International Journal of Intelligent Systems; Dec2021, Vol. 36 Issue 12, p7204-7238, 35p

Subject Terms: RADIO broadcasting, BROADCASTING industry, RADIO dramas

Single-cell omics: experimental workflow, data analyses and applications.

Authors: Sun, Fengying Li, Haoyan Sun, Dongqing et al.

Source: SCIENCE CHINA Life Sciences; Jan2025, Vol. 68 Issue 1, p5-102, 98p

Perceptual video quality assessment: a survey.

Authors: Min, Xiongkuo Duan, Huiyu Sun, Wei et al.

Source: SCIENCE CHINA Information Sciences; Nov2024, Vol. 67 Issue 11, p1-57, 57p

A survey of graph neural networks in various learning paradigms: methods, applications, and challenges.

Authors: Waikhom, Lilapati Patgiri, Ripon

Source: Artificial Intelligence Review; Jul2023, Vol. 56 Issue 7, p6295-6364, 70p

Subject Terms: DEEP learning, NATURAL language processing, COMPUTER vision, ARCHITECTURAL design, MACHINE learning

A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification.

Authors: Wang, Jiaoju Luo, Jiewen Hounye, Alphonse Houssou et al.

Source: Neural Computing & Applications; Sep2023, Vol. 35 Issue 26, p19351-19364, 14p

Subject Terms: ANTERIOR cruciate ligament injuries, GENERATIVE adversarial networks, ORTHOPEDISTS, DEEP learning, ANTERIOR cruciate ligament, KNEE

Poster sessions.

Source: Journal of Sleep Research; Sep2024 Supplement 1, Vol. 33, p1-633, 633p

Subject Terms: SLEEP duration, PEARSON correlation (Statistics), SLEEP quality, MYOCARDIAL infarction, SUBCUTANEOUS injections, RAPID eye movement sleep, NON-REM sleep

Quantum-Inspired Neural Language Representation, Matching and Understanding.

Authors: Zhang, Peng Gao, Hui Zhang, Jing et al.

Source: Foundations & Trends in Information Retrieval; 2022, Vol. 16 Issue 4/5, p318-509, 192p

Subject Terms: JUDGMENT (Psychology), QUANTUM theory, NEURAL development, READING materials, LEARNING ability