Results 71 to 80 of about 6,752,036 (307)

Sparse representation for massive MIMO satellite channel based on joint dictionary learning

Electronics Letters
A constrained joint dictionary learning (CJDL) algorithm for high‐precision channel representation in massive multiple input multiple output (MIMO) satellite systems is proposed.
Qing yang Guan, Shuang Wu
doaj   +1 more source

Remote Sensing Image Fusion Based on Nonnegative Dictionary Learning

IEEE Access, 2021
For the problem of Panchromatic and multispectral remote sensing image fusion, we propose a remote sensing image fusion algorithm based on nonnegative dictionary learning. The basic idea of the algorithm is to use the panchromatic image with high spatial
Junhua Wang, Yuan Jiang, Yongjun Qi, Yongping Zhai   +3 more
doaj   +1 more source

Learning to Represent Bilingual Dictionaries [PDF]

Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019
CoNLL ...
Muhao Chen 0001, Yingtao Tian, Haochen Chen, Kai-Wei Chang 0001, Steven Skiena, Carlo Zaniolo   +5 more
openaire   +3 more sources

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Effective Input Projection for Updating Dictionary Atoms in Sparse Coding-Based Image Denoising

IEEE Access
Adaptive dictionary learning algorithms offer enhanced performance through the joint optimization of dictionary atoms and sparse representations.
Ammar Hoori, Alex J. Aved, Simegnew Yihunie Alaba, Yuichi Motai   +3 more
doaj   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

Advanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang, Chengfei Jiang, April W. Mao, Qi Sun, Yijun Lu, Jingjing Wei, Jamie L. Inman, Susan E. Celniker, Antoine M. Snijders, David W. Threadgill, Allan Balmain, Bo Hang, Hang Chang, Lei Wang, Jian‐Hua Mao   +14 more
wiley   +1 more source

Measuring The Effectiveness of U-Dictionary in Increasing The Interest in Learning English Language Student At Madrasah Ibtidaiyah

Ideguru, 2023
In the current era of disruption, the need to learn English is very important, therefore several digital applications have been created to make learning English easier, especially for students. U-Dictionary is a popular English learning application that
Feren Fedora, Moh. Ferdi Hasan
doaj   +1 more source

Multivariate Temporal Dictionary Learning for EEG [PDF]

, 2013
International audienceThis article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article proposes a data-driven method ...
Gouy-Pailler, Cedric, Souloumiac, Antoine, Mars, Jerome,, Larue, Anthony, Mars, Jerome, I., Barthélemy, Quentin   +5 more
core   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Deep Micro-Dictionary Learning and Coding Network

, 2019
In this paper, we propose a novel Deep Micro-Dictionary Learning and Coding Network (DDLCN). DDLCN has most of the standard deep learning layers (pooling, fully, connected, input/output, etc.) but the main difference is that the fundamental convolutional
Yan Yan, Sebe, Nicu, Wei, Heng, Wang, Wei, Xu, Dan, Nicu Sebe, Xiao, Wei, Heng Wei, Tang, Hao, Wei Xiao, Hao Tang, Yan, Yan, Wei Wang, Dan Xu   +13 more
core   +1 more source