Search Results - "Sparse coding"

System noise removal for area-array satellite image considering self-constraint and graph regularized row sparse coding

Authors: Tianzhen Wan Jun Pan Mi Wang

Source: Geo-spatial Information Science, Pp 1-18 (2025)

Subject Terms: QB275-343, cloud region mask, System noise removal, graph regularized row sparse coding, Mathematical geography. Cartography, GA1-1776, Geodesy, self-constraint

Access URL: https://doaj.org/article/949614b98f9b4d4c85857bd66ef6a576

Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding

Authors: Sechet, Dylan Kowalski, Matthieu Mokhtari, Samy et al.

Contributors: Sechet, Dylan Kowalski, Matthieu Mokhtari, Samy et al.

Source: 2025 International Conference on Sampling Theory and Applications (SampTA). :1-5

Subject Terms: Signal Processing (eess.SP), Sparse Bayesian Learning, Inverse problem, Signal Processing, reweighted (group)-lasso, FOS: Electrical engineering, electronic engineering, information engineering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

File Description: application/pdf

Access URL: http://arxiv.org/abs/2506.20534
https://hal.science/hal-05130740v1/document
https://hal.science/hal-05130740v1
https://doi.org/10.1109/sampta64769.2025.11133512

Cross-subject motor imagery classification via transfer Riemannian space-based sparse coding

Authors: Yuru Yang Tian-Jian Luo

Source: International Journal of Intelligent Computing and Cybernetics. 18:537-562

Integrating Convolution and Sparse Coding for Learning Low-Dimensional Discriminative Image Representations

Authors: Xian Wei Yingjie Liu Xuan Tang et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:12483-12496

Access URL: https://pubmed.ncbi.nlm.nih.gov/39292572

Automatic Noise Removal of Multibeam Echo Sounders (MBES) Point Cloud Data: Feasibility Study Using Sparse Coding

Authors: Oak YONO Tatsu KUWATANI Satoshi OKAWARA et al.

Source: Geoinformatics. 36:65-70

Dynamic Graph Variational Sparse Coding for Power Distribution Network Fault Location and Classification

Authors: Mahdi Khodayar Mohammad E. Khodayar

Source: IEEE Transactions on Industrial Informatics. 21:5799-5810

Prediction of Prognosis for Nonsmall Cell Lung Cancer After Targeted Therapy Based on CT Imaging and Dense Convolutional Sparse Coding

Authors: Hua-Jun Lu Hai-Feng Ma Dao-Gui Chen et al.

Source: IEEE Sensors Journal. 25:26956-26969

A Bearing Fault Feature Extraction Strategy Based on Finite Frequency Shift-Invariant Sparse Coding

Authors: Wei Lu Changkun Han Kai Cui et al.

Source: IEEE Sensors Journal. 25:23757-23766

Neuronal allocation and sparse coding of episodic memories in the human hippocampus

Authors: Catherine W. Tallman Peter N. Steinmetz John T. Wixted

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Subject Terms: Sparse coding, Episodic memory, Human hippocampus, Single-unit recording, Neuronal allocation, Subsequent memory, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/59ef165757c74e1096546510b724f39c

SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction

Authors: Hao Wang Lu Wang Zhongyu Wang et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 39:7665-7673

Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy

Authors: Yasuhiko Igarashi Naoka Nagamura Masahiro Sekine et al.

Source: Discover Nano, Vol 20, Iss 1, Pp 1-20 (2025)

Subject Terms: Sparse coding superresolution, Nanostructure image enhancement, Measurement image analysis, Synchrotron image reconstruction, High-resolution microscopy, Radiation damage reduction, Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: https://doaj.org/toc/2731-9229

Access URL: https://doaj.org/article/c0ef5eb6ee134bd79a11c03e2c2972f1

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

Authors: Malagnoux, Jean-Baptiste Kowalski, Matthieu

Contributors: Malagnoux, Jean-Baptiste Kowalski, Matthieu

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

Subject Terms: 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

File Description: application/pdf

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

Distributed On-Orbit Sparse Coding for Efficient Space Situational Awareness Image Transmission

Authors: Yutong Liu Haiming Jin Yinjie Wang Yao et al.

Source: IEEE INFOCOM 2025 - IEEE Conference on Computer Communications. :1-10

Medical Image Segmentation via Sparse Coding Decoder

Authors: Long Zeng Mingwei Zhu Kaigui Wu et al.

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Convolutional Sparse Coding with Multipath Orthogonal Matching Pursuit

Authors: Yanis Gomes Charles Truong Jean-Philippe Saut et al.

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Stable and Lightweight Deep Primal-Dual Unrolling for Constrained Image Restoration with Convolutional Sparse Coding

Authors: Takafumi Ueki Kazuki Naganuma Shunsuke Ono

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Homeostatic Mechanisms in Unsupervised Learning: Enhancing Sparse Coding through Nonlinear Normalization

Authors: Hyacinthe Hamon

Source: Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023. 8:35-43

Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising

Authors: Jin Ye Jingran Wang Fengchao Xiong et al.

Source: IEEE Transactions on Geoscience and Remote Sensing. 63:1-14

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Image and Video Processing, Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2508.15553

Sparse Coding-based Multichannel Spike Sorting with the Locally Competitive Algorithm

Authors: Melot, Alexis Alibart, Fabien Yger, Pierre et al.

Contributors: Melot, Alexis Alibart, Fabien Yger, Pierre et al.

Source: 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)

Subject Terms: sparse coding, [SPI] Engineering Sciences [physics], locally competitive algorithm, spike sorting, dictionary learning, [PHYS] Physics [physics]

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

Authors: Haitong Tang Shuang He Mengduo Yang et al.

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

Subject Terms: 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

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