Search Results - "multi-scale convolutional sparse coding"

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

Authors: Chang, Hang Han, Ju Zhong, Cheng et al.

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

Subject Terms: 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

File Description: application/pdf

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

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

Authors: Ruihong Cheng Huajun Wang Ping Luo

Source: PLoS ONE, Vol 17, Iss 10, p e0276648 (2022)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/2db27b403535463ea403332b40e3c74a

The Fast Multi-scale Convolutional Sparse Coding Based Super-Resolution for Infrared Image

Authors: Wenwen Zhang Guoming Xu Qinchao Huang et al.

Source: Journal of Computer-Aided Design & Computer Graphics. 30:1935

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

Authors: YIN Haitao, WANG Tianyou

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/4cc94de773f54ffc804771f8483960fd

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

Authors: Cheng, Ruihong Wang, Huajun Luo, Ping

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

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

Online Rain/Snow Removal From Surveillance Videos.

Authors: Li, Minghan Cao, Xiangyong Zhao, Qian et al.

Source: IEEE Transactions on Image Processing; 2021, Vol. 30, p2029-2044, 16p

Subject Terms: RAINFALL, VIDEO surveillance, SNOW removal, STREAMING video & television, COMPUTER vision, WATER waves

FPGA-Based Real-Time Deblurring and Enhancement for UAV-Captured Infrared Imagery.

Authors: Cheng, Jianghua Pan, Lehao Liu, Tong et al.

Source: Remote Sensing; Oct2025, Vol. 17 Issue 20, p3446, 22p

Subject Terms: IMAGE enhancement (Imaging systems), INFRARED photography, DRONE aircraft, DEEP learning, FEATURE extraction, IMAGE reconstruction, FIELD programmable gate arrays, REAL-time computing

A Robust Semi-Supervised Brain Tumor MRI Classification Network for Data-Constrained Clinical Environments.

Authors: Gupta, Subhash Chand Bhattacharjee, Vandana Vijayvargiya, Shripal et al.

Source: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2485, 25p

Subject Terms: BRAIN tumors, MAGNETIC resonance imaging, DEEP learning, CONVOLUTIONAL neural networks, RESOURCE-limited settings, SUPERVISED learning

PIV-FlowDiffuser: Transfer-Learning-Based Denoising Diffusion Models for Particle Image Velocimetry.

Authors: Zhu, Qianyu Wang, Junjie Hu, Jeremiah et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6077, 17p

Subject Terms: PARTICLE image velocimetry, IMAGE denoising, TRANSFER of training, GENERALIZATION, PARTICLE tracking velocimetry, NOISE control

A novel image enhancement method based on image decomposition and deep neural networks.

Authors: Xiao, Yao Xia, Youshen

Source: Pattern Recognition. Apr2026:Part A, Vol. 172, pN.PAG-N.PAG. 1p.

GENE CANCER CLASSIFICATION USING ENHANCED TRANSFERABLE REINFORCEMENT LEARNING AND ENHANCED RESNET ALGORITHM.

Authors: B., Sanjay Krishna C., Agjelia Lydia

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p4693-4721, 29p

Subject Terms: MACHINE learning, REINFORCEMENT learning, DEEP learning, FEATURE selection, TUMOR classification

CDFAN: Cross-Domain Fusion Attention Network for Pansharpening.

Authors: Ding, Jinting Xu, Honghui Zhou, Shengjun

Source: Entropy; Jun2025, Vol. 27 Issue 6, p567, 24p

Subject Terms: DISCRETE wavelet transforms, INFORMATION theory, REMOTE sensing, ENTROPY

A review of recent advances and strategies in transfer learning.

Authors: Gholizade, Masoume Soltanizadeh, Hadi Rahmanimanesh, Mohammad et al.

Source: International Journal of Systems Assurance Engineering & Management; Mar2025, Vol. 16 Issue 3, p1123-1162, 40p

STP‐CNN: Selection of transfer parameters in convolutional neural networks.

Authors: Mallouk, Otmane Joudar, Nour‐Eddine Ettaouil, Mohamed

Source: Expert Systems; Feb2025, Vol. 42 Issue 2, p1-18, 18p

Subject Terms: MACHINE learning, CONVOLUTIONAL neural networks, DEEP learning, TRANSFER of training

Transforming post-mining area into expressway site by stability evaluation with clustering method: A case study.

Authors: Guo, Song Guo, Guangli Li, Huaizhan et al.

Source: Energy Sources Part A: Recovery, Utilization & Environmental Effects; 2025, Vol. 47 Issue 1, p7663-7681, 19p

Subject Terms: CLUSTERING algorithms, MINE subsidences, PRINCIPAL components analysis, COAL mining, LAND subsidence

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

Authors: Li, Minghan Cao, Xiangyong Zhao, Qian et al.

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

URL: http://arxiv.org/abs/1909.06148

Prior-DualGAN: Rain rendering from coarse to fine.

Authors: Hu, Mingdi Yang, Jingbing Yu, Jianxun et al.

Source: Signal Processing: Image Communication. Nov2024, Vol. 129, pN.PAG-N.PAG. 1p.

Subject Terms: *ARTIFICIAL neural networks, *GENERATIVE adversarial networks, *DEEP learning, *SOURCE code, *FLOW charts

Multi-modal fusion deep transfer learning for accurate brain tumor classification using magnetic resonance imaging images.

Authors: Gottipati, Srinivas Babu Thumbur, Gowri

Source: Indonesian Journal of Electrical Engineering & Computer Science; May2024, Vol. 34 Issue 2, p825-834, 10p

Subject Terms: MAGNETIC resonance imaging, BRAIN tumors, TUMOR classification, DEEP learning, BRAIN imaging, MULTIMODAL user interfaces, IDENTIFICATION

A Review of Machine Learning Algorithms for Biomedical Applications.

Authors: Binson, V. A. Thomas, Sania Subramoniam, M. et al.

Source: Annals of Biomedical Engineering; May2024, Vol. 52 Issue 5, p1159-1183, 25p

Learning the sparse prior: Modern approaches.

Authors: Peng, Guan‐Ju

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

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