Search Results - "Multi-layer Convolutional Sparse Coding"

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

Authors: Geetanjali Sharma Sumit Kushwaha

Source: 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

Authors: Abdul Wahab Usman Ullah Abdul Wahid Kushairy Kadir et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Projecting on to the Multi-Layer Convolutional Sparse Coding Model

Authors: Jeremias Sulam Vardan Papyant Yaniv Romano et al.

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

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

Access URL: 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

Authors: Tang, Haitong He, Shuang Bian, Lingbin et al.

Index Terms: 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

Authors: Zejia Wen Jianjun Wang Hailin Wang et al.

Source: Journal of Electronic Imaging. 30

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: 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)

Authors: 谢伟立 张 军

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

Subject Terms: 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

Authors: Abdul Wahid Jawad Ali Shah Adnan Umar Khan et al.

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

Subject Terms: 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

Access URL: 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.

Authors: Wen, Zejia Wang, Hailin Gong, Yingfan et al.

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

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

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

Authors: Zhang, Han Hua, Jiadong Lin, Jing et al.

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

Subject Terms: 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.

Authors: Sulam, Jeremias Aberdam, Aviad Beck, Amir et al.

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

Subject Terms: 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

Authors: Tang, Haitong He, Shuang Yang, Mengduo et al.

Index Terms: 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

Authors: Haitong Tang Shuang He Mengduo Yang et al.

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

Subject Terms: 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

Access URL: 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)

Authors: 熊红凯 戴文睿 林宙晨 et al.

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

Subject Terms: 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.

Authors: Zhang, Han Wang, Fan Lin, Jing et al.

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

Subject Terms: *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.

Authors: Yele, Vijaykumar P. Badhe, Namdeo Baban Alegavi, Sujata et al.

Source: 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.

Authors: Liu, Manxian Bao, Rui Li, Shuo et al.

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

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

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

Authors: Zhang, Han Zhu, Xin Yang, Ming et al.

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

Subject Terms: *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

Authors: Zhang, Zhiyang Zhang, Shihua

Index Terms: 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

Authors: Boutin, Victor Franciosini, Angelo Ruffier, Franck et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

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