Suchergebnisse - "multi-layered convolutional sparse coding"

Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction

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

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

Schlagwörter: 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

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

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

Autoren: Edlund, Joakim Guillemot, Christine Sjöström, Mårten

Quelle: 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP).

Schlagwörter: Multi-Layered Convolutional Sparse Coding, Predictive Coding

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-43563