Výsledky vyhledávání - "Multi-layer convolutional sparse coding"

A Comprehensive Review of Multi- Layer Convolutional Sparse Coding in Semantic Segmentation

Autoři: Geetanjali Sharma Sumit Kushwaha

Zdroj: 2024 9th International Conference on Communication and Electronics Systems (ICCES). :2050-2054

Multi-layer Convolutional Sparse Coding Framework for Restoration of Under-sampled MR Images

Autoři: Abdul Wahab Usman Ullah Abdul Wahid Kushairy Kadir a další

Zdroj: 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). :1-6

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/i2mtc/i2mtc2021.html#WahidUKS21

Projecting on to the Multi-Layer Convolutional Sparse Coding Model

Autoři: Jeremias Sulam Vardan Papyant Yaniv Romano a další

Zdroj: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2018.html#SulamPRE18
http://dblp.uni-trier.de/db/conf/icassp/icassp2018.html#SulamPRE18
https://ieeexplore.ieee.org/document/8462552/

WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding

Autoři: Tang, Haitong He, Shuang Bian, Lingbin a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2203.14856

Denoising convolutional neural network inspired via multi-layer convolutional sparse coding

Autoři: Zejia Wen Jianjun Wang Hailin Wang a další

Zdroj: Journal of Electronic Imaging. 30

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/jei/jei30.html#WenWGW21
https://doi.org/10.1117/1.JEI.30.2.023007
http://ui.adsabs.harvard.edu/abs/2021JEI....30b3007W/abstract
https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-30/issue-2/023007/Denoising-convolutional-neural-network-inspired-via-multi-layer-convolutional-sparse/10.1117/1.JEI.30.2.023007.full

一种基于多尺度的多层卷积稀疏编码网络. (Chinese)

Alternate Title: A Multi-layer Convolutional Sparse Coding Network Based on Multi-Scale. (English)

Autoři: 谢伟立 张 军

Zdroj: Journal of Guangdong University of Technology; Nov2024, Vol. 41 Issue 6, p125-132, 8p

Témata: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, FEATURE selection, LINEAR network coding, DESIGN techniques

Multi-Layered Basis Pursuit Algorithms for Classification of MR Images of Knee ACL Tear

Autoři: Abdul Wahid Jawad Ali Shah Adnan Umar Khan a další

Zdroj: IEEE Access, Vol 8, Pp 205424-205435 (2020)

Témata: Artificial intelligence, multi-layer convolutional sparse coding, Biomedical Engineering, Convolutional neural network, Projections and Outcomes of Arthroplasty Surgery in the US, 02 engineering and technology, FOS: Medical engineering, Pattern recognition (psychology), Biomechanical Analysis, iterative shrinkage algorithms, Engineering, Health Sciences, Machine learning, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Basis pursuit, knee MR image classification, Deep learning, Advances in Photoacoustic Imaging and Tomography, Computer science, Contextual image classification, TK1-9971, Algorithm, Knee Biomechanics, In Vivo Imaging, Physical Sciences, Medicine, Surgery, Electrical engineering. Electronics. Nuclear engineering, Anterior Cruciate Ligament Injuries in Athletes

Přístupová URL adresa: https://doaj.org/article/091ac545b21d4301a35bc141ed52c44a
https://dblp.uni-trier.de/db/journals/access/access8.html#WahidSKUA20
https://doi.org/10.1109/ACCESS.2020.3037745
https://ieeexplore.ieee.org/document/9257450/

Denoising convolutional neural network inspired via multi-layer convolutional sparse coding.

Autoři: Wen, Zejia Wang, Hailin Gong, Yingfan a další

Zdroj: Journal of Electronic Imaging; Mar/Apr2021, Vol. 30 Issue 2, p23007-23007, 1p

Témata: CONVOLUTIONAL neural networks, RECURRENT neural networks, COMPUTER vision, THRESHOLDING algorithms, IMAGE denoising

Damage localization with Lamb waves using dense convolutional sparse coding network.

Autoři: Zhang, Han Hua, Jiadong Lin, Jing a další

Zdroj: Structural Health Monitoring; Mar2023, Vol. 22 Issue 2, p1180-1192, 13p

Témata: LAMB waves, DEEP learning, LINEAR network coding, MACHINE learning, STRUCTURAL health monitoring, THRESHOLDING algorithms, MATHEMATICAL convolutions

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks.

Autoři: Sulam, Jeremias Aberdam, Aviad Beck, Amir a další

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2020, Vol. 42 Issue 8, p1968-1980, 13p

Témata: CONVOLUTIONAL neural networks, RECURRENT neural networks, THRESHOLDING algorithms, SUPERVISED learning, ALGORITHMS

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation

Autoři: Tang, Haitong He, Shuang Yang, Mengduo a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2108.00408

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation

Autoři: Haitong Tang Shuang He Mengduo Yang a další

Zdroj: IEEE Access, Vol 12, Pp 35844-35854 (2024)

Témata: convolution operation, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, convolutional sparse coding (CSC), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, deep learning, 02 engineering and technology, U-Net, semantic segmentation, TK1-9971, Machine Learning (cs.LG), 03 medical and health sciences, Artificial Intelligence (cs.AI), 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering

Přístupová URL adresa: http://arxiv.org/abs/2108.00408
https://doaj.org/article/e30804863cc34fd3badd7f3f2ed88785

多媒体信号处理的数学理论前沿进展. (Chinese)

Alternate Title: Advances in mathematical theory for multimedia signal processing. (English)

Autoři: 熊红凯 戴文睿 林宙晨 a další

Zdroj: Journal of Image & Graphics; Jan2020, Vol. 25 Issue 1, p1-18, 18p

Témata: ARTIFICIAL neural networks, SIGNAL theory, SIGNAL processing, SPARSE graphs, NON-Euclidean geometry, MULTIMEDIA systems, HIERARCHICAL Bayes model, VIDEO coding, IMAGE representation

Lamb wave-based damage assessment for composite laminates using a deep learning approach.

Autoři: Zhang, Han Wang, Fan Lin, Jing a další

Zdroj: Ultrasonics. Jul2024, Vol. 141, pN.PAG-N.PAG. 1p.

Témata: *DEEP learning, *LAMINATED materials, *LAMB waves, *STRUCTURAL health monitoring, *ULTRASONIC waves, *DELAMINATION of composite materials, *LAMBS

Multi Attention Convolutional Sparse Coding U-Net for Enhanced Land-Use and Land-Cover Segmentation Using Hyperspectral Images.

Autoři: Yele, Vijaykumar P. Badhe, Namdeo Baban Alegavi, Sujata a další

Zdroj: Sensing & Imaging; 5/20/2025, Vol. 26 Issue 1, p1-32, 32p

A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table.

Autoři: Liu, Manxian Bao, Rui Li, Shuo a další

Zdroj: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 9, p4693, 18p

Témata: COUPLINGS (Gearing), PROCESS optimization, ASSEMBLY machines, TRANSVERSAL lines, COMPUTER simulation

A deep learning approach for pose error prediction in parallel robots.

Autoři: Zhang, Han Zhu, Xin Yang, Ming a další

Zdroj: Measurement (02632241). Jan2025:Part A, Vol. 242, pN.PAG-N.PAG. 1p.

Témata: *PARALLEL robots, *INDUSTRIAL robots, *NETWORK performance, *COMPUTER programming education, *COMPARATIVE studies

SUPER-RESOLUTION IMAGE RECONSTRUCTION METHOD BASED ON DEEP CONVOLUTIONAL SPARSE CODING

Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding

Autoři: Zhang, Zhiyang Zhang, Shihua

Témata: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1912.02605

From biological vision to unsupervised hierarchical sparse coding

Autoři: Boutin, Victor Franciosini, Angelo Ruffier, Franck a další

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1812.01335