Suchergebnisse - tensor convolutional sparse coding

Two Layer Tensor Form Convolutional Sparse Coding for Stereo Matching

Autoren: Chunbo Cheng Wenjing Cui

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

Schlagwörter: 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

Zugangs-URL: 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

Deep High-order Tensor Convolutional Sparse Coding for Stereo Matching

Autoren: Chunbo Cheng Wenjing Cui

Quelle: 2021 3rd International Conference on Robotics and Computer Vision (ICRCV). :57-62

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9546963
http://xplorestaging.ieee.org/ielx7/9546952/9546953/09546963.pdf?arnumber=9546963

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

Autoren: Chunbo Cheng Hong Li Jiangtao Peng et al.

Quelle: IEEE Transactions on Geoscience and Remote Sensing. 60:1-11

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis

Autoren: Humbert, Pierre Oudre, Laurent Vayatis, Nivolas et al.

Index Begriffe: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2007.02534

Tensor Completion via Convolutional Sparse Coding Regularization

Autoren: Wu, Zhebin Liao, Tianchi Chen, Chuan et al.

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

URL: http://arxiv.org/abs/2012.00944

Multivariate Convolutional Sparse Coding with Low Rank Tensor

Autoren: Humbert, Pierre Audiffren, Julien Oudre, Laurent et al.

Index Begriffe: Statistics - Machine Learning, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1908.03367

Online Tensor Robust Principal Component Analysis

Autoren: Mohammad M. Salut David V. Anderson

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/7fcddcb050414e1494154fbff9e236af

Low-Rank Tensor Patching Based on Convolutional Sparse Coding for Communication Data Repair

Autoren: Yi Hu Yuyi Yao Zhen Cheng

Quelle: Mobile Information Systems. 2022:1-14

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: text/xhtml

Low Rank Activations for Tensor-Based Convolutional Sparse Coding

Autoren: Humbert, Pierre Audiffren, Julien Oudre, Laurent et al.

Weitere Verfasser: Humbert, Pierre Audiffren, Julien Oudre, Laurent et al.

Quelle: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :3252-3256

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Zugangs-URL: https://ieeexplore.ieee.org/document/9053402/
https://hal.archives-ouvertes.fr/hal-03134438
https://dblp.uni-trier.de/db/conf/icassp/icassp2020.html#HumbertAOV20

Tensor completion via convolutional sparse coding with small samples-based training

Autoren: Tianchi Liao Zhebin Wu Chuan Chen et al.

Quelle: Pattern Recognition. 141:109624

Tensor Convolutional Dictionary Learning With CP Low-Rank Activations

Autoren: Humbert, Pierre Oudre, Laurent Vayatis, Nicolas et al.

Weitere Verfasser: Humbert, Pierre Oudre, Laurent Vayatis, Nicolas et al.

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

High Order Tensor Formulation for Convolutional Sparse Coding

Autoren: Bernard Ghanem Adel Bibi

Quelle: 2017 IEEE International Conference on Computer Vision (ICCV).

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://repository.kaust.edu.sa/handle/10754/627257
https://dblp.uni-trier.de/db/conf/iccv/iccv2017.html#BibiG17
https://ieeexplore.ieee.org/document/8237459/

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

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

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

Schlagwörter: FEATURE extraction, IMAGE compression, DEEP learning, CLASSIFICATION

Towards an understanding of CNNs: analysing the recovery of activation pathways via Deep Convolutional Sparse Coding

Autoren: Murray, Michael Tanner, Jared

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, 68T07, I.2.6, text

URL: http://arxiv.org/abs/1806.09888

Remote sensing image super-resolution using multi-scale convolutional sparse coding network.

Autoren: Cheng, Ruihong Wang, Huajun Luo, Ping

Quelle: PLoS ONE; 10/26/2022, Vol. 17 Issue 10, p1-15, 15p

Schlagwörter: REMOTE sensing, HIGH resolution imaging, LINEAR network coding, CONVOLUTIONAL neural networks, IMAGE reconstruction

Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding.

Autoren: Deng, Xin Liu, Enpeng Li, Shengxi et al.

Quelle: IEEE Transactions on Image Processing; 2023, Vol. 32, p1078-1091, 14p

Schlagwörter: GENERATIVE adversarial networks, LINEAR network coding, COMPUTED tomography, TASK analysis, MAGNETIC resonance, IMAGE registration, DEEP learning

Towards understanding residual and dilated dense neural networks via convolutional sparse coding.

Autoren: Zhang, Zhiyang Zhang, Shihua

Quelle: National Science Review; Mar2021, Vol. 8 Issue 3, p1-13, 13p

Schlagwörter: CONVOLUTIONAL neural networks, THRESHOLDING algorithms

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

Autoren: Cheng, Chunbo Peng, Jiangtao Cui, Wenjing

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

PSCSC-Net: A Deep Coupled Convolutional Sparse Coding Network for Pansharpening.

Quelle: IEEE Transactions on Geoscience & Remote Sensing; Jan2022, Vol. 60 Issue 1, p1-16, 16p

Schlagwörter: LINEAR network coding, THRESHOLDING algorithms, DEEP learning, MATHEMATICAL optimization

Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.

Autoren: Xie, Nuobei Gong, Kuang Guo, Ning et al.

Quelle: IEEE Transactions on Biomedical Engineering; Jan2022, Vol. 69 Issue 1, p4-14, 11p

Schlagwörter: THREE-dimensional imaging, POSITRON emission tomography, IMAGE reconstruction, SEPARATION of variables