Výsledky vyhľadávania - "Convolutional sparse coding"

From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients

Autori: Malagnoux, Jean-Baptiste Kowalski, Matthieu

Prispievatelia: Malagnoux, Jean-Baptiste Kowalski, Matthieu

Zdroj: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :5530-5534

Predmety: Convolutional Dictionary Learning, Convolutional Sparse Coding, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Time-Frequency synthesis, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Non-negative Matrix Factorization

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04608586v1/document
https://hal.science/hal-04608586v1
https://doi.org/10.1109/icassp48485.2024.10447466

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

Autori: Haitong Tang Shuang He Mengduo Yang a ďalší

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

Predmety: 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

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

Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising

Autori: Haitao Yin Hao Chen

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4125-4138 (2024)

Predmety: separable convolution, Ocean engineering, deep network, Hyperspectral image denoising, QC801-809, Geophysics. Cosmic physics, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, deep unfolding, 02 engineering and technology, TC1501-1800, 3-D convolution

Prístupová URL adresa: https://doaj.org/article/a64d117c91ac47ad85b4282a042798bc

Convolutional Sparse Modular Fusion Algorithm for Non-Rigid Registration of Visible–Infrared Images

Autori: Tao Luo Ning Chen Xianyou Zhu a ďalší

Zdroj: Applied Sciences ; Volume 15 ; Issue 5 ; Pages: 2508

Predmety: multimodal image fusion, convolutional sparse coding, image registration, feature extraction

Geografické téma: agris

Popis súboru: application/pdf

Relation: https://dx.doi.org/10.3390/app15052508

Dostupnosť: https://doi.org/10.3390/app15052508

Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees

Autori: Truong, Charles Moreau, Thomas

Prispievatelia: Truong, Charles Moreau, Thomas

Zdroj: Statistical Analysis and Data Mining: An ASA Data Science Journal. 17

Predmety: statistical learning, L0 penalty, compressive statistical learning, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, 02 engineering and technology, [INFO] Computer Science [cs], 0101 mathematics, signal processing, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], 01 natural sciences

Popis súboru: application/pdf

Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion

Autori: Veshki, Farshad G. Vorobyov Sergiy, A. a ďalší

Prispievatelia: Veshki, Farshad G. Vorobyov Sergiy, A. a ďalší

Zdroj: 2022 56th Asilomar Conference on Signals, Systems, and Computers. :872-876

Predmety: ta113, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, 02 engineering and technology, dictionary learning, image fusion, Simultaneous sparse approximation, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2203.09913
http://juuli.fi/Record/0668153823
https://doi.org/10.1109/IEEECONF56349.2022.10052057
https://aaltodoc.aalto.fi/handle/123456789/120366

Cauchy convolutional sparse coding and the detection of Alzheimer's disease in MRI

Autori: Mayo Diaz de Leon, Perla Jazmin Achim, Alin

Prispievatelia: Mayo Diaz de Leon, Perla Jazmin Achim, Alin

Predmety: MRI, Alzheimer's disease, Convolutional Sparse Coding, Cauchy, Convolutional Neural Networks, Computer Aided Diagnosis, Iterative Thresholding Algorithms

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.848480

On Interpretability of CNNs for Multimodal Medical Image Segmentation

Autori: Lazendic, Srdan Janssens, Jens Huang, Shaoguang a ďalší

Zdroj: EUSIPCO 2022, 30th European Signal Processing Conference, Proceedings

Predmety: multimodal data, medical image segmentation, 03 medical and health sciences, Technology and Engineering, 0302 clinical medicine, deep unrolling, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, interpretable CNNs, Multilayer convolutional sparse coding

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/1854/LU-8763889
http://doi.org/10.23919/EUSIPCO55093.2022.9909776
https://biblio.ugent.be/publication/8763889/file/8763891
https://biblio.ugent.be/publication/8763889

Coupled Feature Learning Via Structured Convolutional Sparse Coding for Multimodal Image Fusion

Autori: Veshki, Farshad G. Vorobyov Sergiy, A. a ďalší

Prispievatelia: Veshki, Farshad G. Vorobyov Sergiy, A. a ďalší

Zdroj: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :2500-2504

Predmety: 03 medical and health sciences, Multimodal image fusion, 0302 clinical medicine, ta213, structured dictionary learning, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: https://aaltodoc.aalto.fi/handle/123456789/117820

DiCoDiLe: Distributed Convolutional Dictionary Learning

Autori: Moreau, Thomas Gramfort, Alexandre

Prispievatelia: Moreau, Thomas Gramfort, Alexandre

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence

Predmety: Convolutional dictionary learning, Convolutional Dictionary Learning, Distributed System, Distributed Algorithm, Deconvolution algorithm, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, Convolutional sparse coding, Coordinate Descent, Asynchronous Computations, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML]

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.archives-ouvertes.fr/hal-02371715/file/PAMI_dicodile.pdf
https://pubmed.ncbi.nlm.nih.gov/33211653
https://hal.science/hal-02371715v2
https://hal.archives-ouvertes.fr/hal-02371715
https://ieeexplore.ieee.org/document/9264680/
https://www.ncbi.nlm.nih.gov/pubmed/33211653
https://hal.archives-ouvertes.fr/hal-02371715/document
https://pubmed.ncbi.nlm.nih.gov/33211653/
https://europepmc.org/article/MED/33211653

Image Denoising Algorithm Based on Deep Multi-scale Convolution Sparse Coding

Autori: YIN Haitao, WANG Tianyou

Zdroj: Jisuanji kexue, Vol 50, Iss 4, Pp 133-140 (2023)

Predmety: image denoising, multi-scale convolutional sparse coding, residual learning, deep neural network, deep unfolding, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis súboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-4-133.pdf; https://doaj.org/toc/1002-137X

Prístupová URL adresa: https://doaj.org/article/4cc94de773f54ffc804771f8483960fd

Tensor Convolutional Dictionary Learning With CP Low-Rank Activations

Autori: Humbert, Pierre Oudre, Laurent Vayatis, Nicolas a ďalší

Prispievatelia: Humbert, Pierre Oudre, Laurent Vayatis, Nicolas a ďalší

Zdroj: IEEE Transactions on Signal Processing. 70:785-796

Predmety: Convolutional dictionary learning, canonical polyadic decomposition, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, 02 engineering and technology, tensor, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-03671274v1/document
https://hal.science/hal-03671274v1
https://doi.org/10.1109/tsp.2021.3135695

Online Tensor Robust Principal Component Analysis

Autori: Mohammad M. Salut David V. Anderson

Zdroj: IEEE Access, Vol 10, Pp 69354-69363 (2022)

Predmety: low-rank tensor model, 0202 electrical engineering, electronic engineering, information engineering, tensor singular value decomposition (T-SVD), Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Multilinear subspace learning, tensor convolutional sparse coding, TK1-9971

Prístupová URL adresa: https://doaj.org/article/7fcddcb050414e1494154fbff9e236af

A Deep Unfolding Network for Multispectral and Hyperspectral Image Fusion

Autori: Bihui Zhang Xiangyong Cao Deyu Meng

Zdroj: Remote Sensing, Vol 16, Iss 21, p 3979 (2024)

Predmety: hyperspectral and multispectral image fusion, convolutional sparse coding, proximal gradient algorithm, convolutional neural networks, Science

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/21/3979; https://doaj.org/toc/2072-4292

Prístupová URL adresa: https://doaj.org/article/ddb6841fcf2e4b208d4017f88f8338ae

Generation model meets swin transformer for unsupervised low-dose CT reconstruction

Autori: Yu Li Xueqin Sun Sukai Wang a ďalší

Zdroj: Machine Learning: Science and Technology, Vol 5, Iss 2, p 025005 (2024)

Predmety: low-dose CT, score-based diffusion model, swin transformer, convolutional sparse coding, data consistency, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Relation: https://doi.org/10.1088/2632-2153/ad370e; https://doaj.org/toc/2632-2153; https://doaj.org/article/b2ec947abf0e417e82bd515cb217c06e

Dostupnosť: https://doi.org/10.1088/2632-2153/ad370e
https://doaj.org/article/b2ec947abf0e417e82bd515cb217c06e

Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion

Autori: Xin Deng Pier Luigi Dragotti

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:3333-3348

Predmety: FOS: Computer and information sciences, Technology, Computer Vision and Pattern Recognition (cs.CV), Multi-modal image restoration, Computer Science - Computer Vision and Pattern Recognition, Convolutional codes, 02 engineering and technology, image fusion, Computer Science, Artificial Intelligence, multi-modal convolutional sparse coding, Image restoration, Engineering, Artificial Intelligence, 0801 Artificial Intelligence and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Image fusion, Artificial Intelligence & Image Processing, Science & Technology, Image coding, Engineering, Electrical & Electronic, 0906 Electrical and Electronic Engineering, 0806 Information Systems, Computer Science, Task analysis, Image reconstruction, Electrical & Electronic, Convolutional neural networks

Prístupová URL adresa: http://arxiv.org/pdf/1910.04066
https://pubmed.ncbi.nlm.nih.gov/32248098
http://arxiv.org/abs/1910.04066
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-04066
https://pubmed.ncbi.nlm.nih.gov/32248098/
https://dblp.uni-trier.de/db/journals/pami/pami43.html#0002D21
https://www.computer.org/csdl/api/v1/periodical/trans/tp/2021/10/09055063/1iHr4qwbtrq/download-article/pdf
https://arxiv.org/pdf/1910.04066.pdf
https://www.computer.org/csdl/journal/tp/2021/10/09055063/1iHr4qwbtrq
http://hdl.handle.net/10044/1/77889

Slice-Based Online Convolutional Dictionary Learning

Autori: Yijie Zeng Jichao Chen Guang-Bin Huang a ďalší

Prispievatelia: Yijie Zeng Jichao Chen Guang-Bin Huang a ďalší

Zdroj: IEEE Transactions on Cybernetics. 51:5116-5129

Predmety: Convolutional Sparse Coding, Electrical and electronic engineering [Engineering], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Dictionary Learning

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/31443059
https://ieeexplore.ieee.org/document/8807342/
https://www.ncbi.nlm.nih.gov/pubmed/31443059
https://dblp.uni-trier.de/db/journals/tcyb/tcyb51.html#ZengCH21
https://europepmc.org/article/MED/31443059
https://hdl.handle.net/10356/159943

Two Layer Tensor Form Convolutional Sparse Coding for Stereo Matching

Autori: Chunbo Cheng Wenjing Cui

Zdroj: IEEE Access, Vol 9, Pp 109396-109406 (2021)

Predmety: 0202 electrical engineering, electronic engineering, information engineering, deep learning, convolutional sparse coding, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, dictionary learning, high-order tensor, Stereo matching, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09505664.pdf
https://doaj.org/article/04e6ac09e58644b7b77086b8048320b9
https://dblp.uni-trier.de/db/journals/access/access9.html#ChengC21
https://ieeexplore.ieee.org/document/9505664

Representation Learning via Cauchy Convolutional Sparse Coding

Autori: Mayo, Perla Karakuş, Oktay Holmes, Robin a ďalší

Zdroj: IEEE Access, Vol 9, Pp 100447-100459 (2021)
Mayo, P, Karakuş, O, Holmes, R & Achim, A 2020, ' Representation Learning via Cauchy Convolutional Sparse Coding ', arXiv . < https://arxiv.org/abs/2008.03473 >

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, proximal splitting, Computer Vision and Pattern Recognition (cs.CV), cs.LG, Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, convolutional sparse coding, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, 16. Peace & justice, TK1-9971, Machine Learning (cs.LG), Cauchy-based penalty function, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, eess.IV, Electrical engineering. Electronics. Nuclear engineering, cs.CV

Popis súboru: application/pdf

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09481269.pdf
http://arxiv.org/abs/2008.03473
https://orca.cardiff.ac.uk/id/eprint/144106/1/Karakus_Representation_Learning_via_Cauchy_Convolutional_Sparse_Coding.pdf
https://doaj.org/article/a916376710c54e9482bb4e792c1d91f5
http://export.arxiv.org/pdf/2008.03473
https://arxiv.org/abs/2008.03473v1
https://research-information.bris.ac.uk/en/publications/representation-learning-via-cauchy-convolutional-sparse-coding
https://arxiv.org/pdf/2008.03473.pdf
https://dblp.uni-trier.de/db/journals/access/access9.html#MayoKHA21
http://ui.adsabs.harvard.edu/abs/2020arXiv200803473M/abstract
https://hdl.handle.net/1983/54aecf01-e228-4ff6-b512-76fe64e960ab
https://research-information.bris.ac.uk/ws/files/247604716/2008.03473v1.pdf

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

Autori: Chang, Hang Han, Ju Zhong, Cheng a ďalší

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5)

Predmety: Information and Computing Sciences, Artificial Intelligence, Computer Vision and Multimedia Computation, Data Management and Data Science, Machine Learning, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Algorithms, Animals, Brain Neoplasms, Breast Neoplasms, Databases, Factual, Deep Learning, Female, Histocytochemistry, Humans, Image Interpretation, Computer-Assisted, Mice, Unsupervised Machine Learning, Neurosky EEG headset, Communicativetask, Attention, Foriegn language anxiety, Technology-enhanced language learning, Transfer learning, sharable information, convolutional sparse coding, deep learning, biomedical application, brain tumors, low dose ionizing radiation, mouse model, breast cancer subtypes, Artificial Intelligence and Image Processing, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence & Image Processing, Computer vision and multimedia computation, Machine learning

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/6n6147g5
https://escholarship.org/content/qt6n6147g5/qt6n6147g5.pdf