Search Results - multi-layered convolutional sparse coding*

Analysis of Top-Down Connections in Multi-Layered Convolutional Sparse Coding

Authors: Joakim Edlund Christine Guillemot Marten Sjostrom

Source: 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP). :1-6

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

A Multilayered Convolutional Sparse Coding Framework for Modeling of Pooling Operation of Convolution Neural Networks

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

Source: 2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA). :1-5

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

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9057334
http://xplorestaging.ieee.org/ielx7/9049928/9057290/09057334.pdf?arnumber=9057334

Analysis of Top-Down Connections in Multi-Layered Convolutional Sparse Coding

Authors: Edlund, Joakim Guillemot, Christine Sjöström, Mårten

Index Terms: Multi-Layered Convolutional Sparse Coding, Predictive Coding, Signal Processing, Signalbehandling, Computer graphics and computer vision, Datorgrafik och datorseende, Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-43563
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP)

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/

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 multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks

Authors: Abdul Wahid Khan, Adnan Umar Mukhtarullah et al.

Subject Terms: T Technology (General)

File Description: application/pdf

Relation: http://irep.iium.edu.my/80454/1/80454%20A%20Multilayered%20Convolutional%20Sparse%20Coding%20Framework.pdf; http://irep.iium.edu.my/80454/2/80454%20A%20Multilayered%20Convolutional%20Sparse%20Coding%20Framework%20SCOPUS.pdf; Abdul Wahid and Khan, Adnan Umar and , Mukhtarullah and Khan, Sheroz and Shah, Jawad (2019) A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks. In: 2019 IEEE 6th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2019), 27 - 29 Aug 2019, Kuala Lumpur, Malaysia.

Availability: http://irep.iium.edu.my/80454/
http://irep.iium.edu.my/80454/1/80454%20A%20Multilayered%20Convolutional%20Sparse%20Coding%20Framework.pdf
http://irep.iium.edu.my/80454/2/80454%20A%20Multilayered%20Convolutional%20Sparse%20Coding%20Framework%20SCOPUS.pdf
https://ieeexplore.ieee.org/document/9057334

Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction

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

Source: IEEE Access, Vol 8, Pp 186222-186232 (2020)

Subject Terms: multi-layered convolutional sparse coding, Signal processing, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Economics, Computational Mechanics, Biomedical Engineering, Convolutional neural network, 02 engineering and technology, FOS: Medical engineering, Pattern recognition (psychology), Sparse Approximation, 03 medical and health sciences, Engineering, Magnetic resonance imaging, 0302 clinical medicine, Compressed Sensing, Health Sciences, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Orthogonal Matching Pursuit, Basis pursuit, Economic growth, Signal reconstruction, Radar, Deep learning, Advances in Photoacoustic Imaging and Tomography, Compressive sensing, Theory and Applications of Compressed Sensing, iterative thresholding algorithms, Magnetic Resonance Imaging, Computer science, TK1-9971, Iterative reconstruction, inverse problems in imaging, Thresholding, Physical Sciences, Convergence (economics), Matching pursuit, Telecommunications, Medicine, Quantitative Susceptibility Mapping, Compressed sensing, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Radiology, Magnetic Resonance Imaging Applications in Medicine

Access URL: https://doaj.org/article/0f99a9b6256d4122baa3bc01a9e6bffa
https://dblp.uni-trier.de/db/journals/access/access8.html#WahidSKAR20
https://ieeexplore.ieee.org/document/9214501

Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization.

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

Source: Structural Health Monitoring; Jul2022, Vol. 21 Issue 4, p1790-1804, 15p

Subject Terms: LAMB waves, DEEP learning, STRUCTURAL health monitoring, FEATURE extraction, NONDESTRUCTIVE testing, CONVOLUTIONAL neural networks

CMCS-net: image compressed sensing with convolutional measurement via DCNN.

Authors: Xie, Yahong Wang, Hailin Wang, Jianjun

Source: IET Image Processing (Wiley-Blackwell). 2020, Vol. 14 Issue 15, p3839-3850. 12p.

Subject Terms: *DEEP learning, *CONVOLUTIONAL neural networks, *PROBLEM solving, *COMPRESSED sensing, *SIGNAL convolution, *COMPUTATIONAL complexity, *DATA compression

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

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Authors: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.

Improved Image Generation via Sparse Modeling

Authors: Ganz, Roy Elad, Michael

Index Terms: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2104.00464

Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception.

Authors: Brucklacher, Matthias Bohté, Sander M. Mejias, Jorge F. et al.

Source: Frontiers in Computational Neuroscience; 2023, p1-15, 15p

Subject Terms: VISUAL perception, LINEAR network coding, IMAGE representation, MACAQUES, FORECASTING, FUSIFORM gyrus

People search via deep compressed sensing techniques.

Authors: Lu, Bing-Xian Tsai, Yu-Chung Tseng, Kuo-Shih

Source: Robotica; Jul2022, Vol. 40 Issue 7, p2320-2348, 29p

Subject Terms: COMPRESSED sensing, SUBMODULAR functions, DRONE aircraft, SEARCH algorithms

Early prediction of Alzheimer's disease using convolutional neural network: a review.

Authors: Patil, Vijeeta Madgi, Manohar Kiran, Ajmeera

Source: Egyptian Journal of Neurology, Psychiatry & Neurosurgery; 11/17/2022, Vol. 58, p1-10, 10p

Subject Terms: ALZHEIMER'S disease, CONVOLUTIONAL neural networks, MACHINE learning, ARTIFICIAL intelligence, APOLIPOPROTEIN E4, NEUROBEHAVIORAL disorders

Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition.

Authors: Shicao Luo Yongsheng Ding Kuangrong Hao

Source: 2015 Chinese Automation Congress (CAC); 2015, p565-570, 6p

HEVC Video Quality Enhancement Using Deep Learning with Super Interpolation and Laplacian Filter.

Authors: Sheeba, G. Maheswari, M.

Source: IETE Journal of Research; Nov2023, Vol. 69 Issue 11, p7979-7992, 14p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, INTERPOLATION algorithms, INTERPOLATION, VIDEO coding

Sparse TFM imaging of different-scale phased array based on the DWSO algorithm.

Authors: Wei, Zhengbo Zhu, Wenfa Zhang, Hui et al.

Source: Nondestructive Testing & Evaluation; Jul2025, Vol. 40 Issue 7, p2824-2840, 17p

Subject Terms: PARTICLE swarm optimization, ULTRASONIC arrays, PHASED array antennas, SPARSE matrices, NONDESTRUCTIVE testing

ENCODER, DECODER AND METHODS FOR CODING A PICTURE USING A CONVOLUTIONAL NEURAL NETWORK

An improved facial emotion recognition system using convolutional neural network for the optimization of human robot interaction.

Authors: Raj, Ravi Demirkol, Ilker

Source: Scientific Reports; 11/6/2025, Vol. 15 Issue 1, p1-17, 17p