Výsledky vyhledávání - multilayer convolutional sparse coding (ML-CSC)~

On Interpretability of CNNs for Multimodal Medical Image Segmentation

Autoři: Lazendic, Srdan Janssens, Jens Huang, Shaoguang a další

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

Témata: 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 souboru: application/pdf

Přístupová 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

Adaptive Forward-Backward Splitting for Multilayer Convolutional Dictionary Learning.

Autoři: Guan-Ju Peng

Zdroj: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 1, p631-664, 34p

Témata: FORWARD-backward algorithm, DATA dictionaries, NONSMOOTH optimization, IMAGE reconstruction, IMAGE representation

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

Autoři: Zhang, Zhiyang Zhang, Shihua

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

Témata: *CONVOLUTIONAL neural networks, *THRESHOLDING algorithms

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

Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning.

Autoři: Sulam, Jeremias Papyan, Vardan Romano, Yaniv a další

Zdroj: IEEE Transactions on Signal Processing; 8/1/2018, Vol. 66 Issue 15, p4090-4104, 15p

Témata: MULTILAYERS, ARTIFICIAL neural networks, FACTORIZATION, MATHEMATICAL bounds, ENCODING

SureUnet: sparse autorepresentation encoder U-Net for noise artifact suppression in low-dose CT.

Autoři: Liu, Jin Zhang, Tingyu Kang, Yanqin a další

Zdroj: Neural Computing & Applications; Apr2025, Vol. 37 Issue 11, p7561-7573, 13p

Témata: COMPUTED tomography, IMAGE processing, IONIZING radiation, ARTIFICIAL intelligence, DEEP learning

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

Convolutional Dictionary Learning in Hierarchical Networks

Autoři: Zazo, Javier Tolooshams, Bahareh Ba, Demba

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1907.09881

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

Autoři: Xie, Yahong Wang, Hailin Wang, Jianjun

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

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

Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation

Autoři: Shaoguang Huang Jens Janssens Aleksandra Pizurica a další

Zdroj: 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA). :91-96

Přístupová URL adresa: https://biblio.ugent.be/publication/8716968
https://dblp.uni-trier.de/db/conf/imspa/ispa2021.html#JanssensLHP21

Learning the sparse prior: Modern approaches.

Autoři: Peng, Guan‐Ju

Zdroj: WIREs: Computational Statistics; Jan/Feb2024, Vol. 16 Issue 1, p1-29, 29p

Témata: RECURRENT neural networks, SUPERVISED learning, ENCYCLOPEDIAS & dictionaries, PRIOR learning, DATA science

Simple and complex cells revisited: toward a selectivity-invariance model of object recognition.

Autoři: Xin Li Shuo Wang

Zdroj: Frontiers in Computational Neuroscience; 2023, p1-13, 13p

Témata: ARTIFICIAL neural networks, OBJECT recognition (Computer vision), TEMPORAL lobe, TOPOLOGICAL spaces

Effect of Top-Down Connections in Hierarchical Sparse Coding.

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

Zdroj: Neural Computation; Nov2020, Vol. 32 Issue 11, p2279-2309, 31p, 5 Color Photographs, 3 Black and White Photographs, 2 Diagrams, 2 Charts, 8 Graphs

Témata: FORECASTING, DATA structures, CIPHERS, MULTIDIMENSIONAL databases

Convolutional Dictionary Learning in Hierarchical Networks

Autoři: Javier Zazo Bahareh Tolooshams Harvard John A. Paulson a další

Zdroj: 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). :131-135

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

Přístupová URL adresa: http://arxiv.org/pdf/1907.09881
http://arxiv.org/pdf/1907.09881.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-09881
https://arxiv.org/abs/1907.09881

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing.

Autoři: Monga, Vishal Li, Yuelong Eldar, Yonina C.

Zdroj: IEEE Signal Processing Magazine; Mar2021, Vol. 38 Issue 2, p18-44, 27p

Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals.

Autoři: Romano, Yaniv Aberdam, Aviad Sulam, Jeremias a další

Zdroj: Journal of Mathematical Imaging & Vision; Apr2020, Vol. 62 Issue 3, p313-327, 15p

MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification.

Autoři: Zheng, Qinghe Zhao, Penghui Zhang, Deliang a další

Zdroj: International Journal of Intelligent Systems; Dec2021, Vol. 36 Issue 12, p7204-7238, 35p

Témata: RADIO broadcasting, BROADCASTING industry, RADIO dramas

Solving inverse problems using data-driven models.

Autoři: Arridge, Simon Maass, Peter Öktem, Ozan a další

Zdroj: Acta Numerica; May2019, Vol. 28 Issue 8, p1-174, 174p

New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques

Autoři: Guangrui Wen Zihao Lei Xuefeng Chen a další

Resource Type: eBook.

Témata: Artificial intelligence--Industrial applications, Machinery--Maintenance and repair--Data processing

Categories: COMPUTERS / Artificial Intelligence / General, SCIENCE / Physics / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Manufacturing

Computer Vision – ACCV 2018

Autoři: C. V. Jawahar Hongdong Li Greg Mori a další

Resource Type: eBook.

Témata: Computer vision, Artificial intelligence, Computer engineering, Computer networks, Computer science—Mathematics

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Hardware / General, MATHEMATICS / Applied