机构

• 自动化研究所 [4]
• 长春光学精密机械与物... [1]
• 心理研究所 [1]
• 沈阳自动化研究所 [1]
• 合肥物质科学研究院 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [8]
• 会议论文 [1]

发表日期

• 2024 [2]
• 2023 [2]
• 2021 [3]
• 2015 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共9条，第1-9条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 An attention-based deep learning model considering data contamination for energy management system application of hybrid vehicle 期刊论文  OAI收割 COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 118 作者:  Huang, Wei;  Zhang, Yujun;  Qian, Duode;  He, Ying;  Hu, Biqian   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/11/20 Energy management system  Deep learning  Attention mechanism  LSTM  Noise reduction   LG-DBNet: Local and Global Dual-Branch Network for SAR Image Denoising 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15 作者:  Liu, Shuaiqi;  Tian, Shikang;  Zhao, Yuhang;  Hu, Qi;  Li, Bing   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/07/03 Noise reduction  Radar polarimetry  Feature extraction  Speckle  Transforms  Filtering  Transformers  Convolutional neural network (CNN)  dual-branch network  hybrid attention module  self-attention mechanisms  synthetic aperture radar (SAR) image denoising   Illumination Guided Attentive Wavelet Network for Low-Light Image Enhancement 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6258-6271 作者:  Xu, Jingzhao;  Yuan, Mengke;  Yan, Dong-Ming;  Wu, Tieru   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/02/22 Lighting  Wavelet transforms  Image enhancement  Frequency modulation  Wavelet coefficients  Noise reduction  Discrete wavelet transforms  Attention mechanism  illumination guidance  low-light image enhancement  wavelet transform   Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching 期刊论文  OAI收割 IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 33, 期号: 3, 页码: 1335 - 1348 作者:  Fu Yujie;  Zhang Pengju;  Liu Bingxi;  Rong Zheng;  Wu Yihong   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/05/28 Image Matching  Large Scale Changes  Scale Difference Reduction  Scale Ratio Estimation  Covisibility-attention-reinforced Matching Module   MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 13 作者:  Liu, Shuaiqi;  Lei, Yu;  Zhang, Luyao;  Li, Bing;  Hu, Weiming   |  收藏  |  浏览/下载：50/0  |  提交时间：2022/01/27 Noise reduction  Radar polarimetry  Feature extraction  Speckle  Transforms  Synthetic aperture radar  Image denoising  Dual attention network  feature extraction  multiscale  synthetic aperture radar (SAR) image denoising   Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575 作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang   |  收藏  |  浏览/下载：106/0  |  提交时间：2021/07/12 Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)   Accurate and Fast Image Denoising via Attention Guided Scaling 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6255-6265 作者:  Zhang, Yulun;  Li, Kunpeng;  Li, Kai;  Sun G(孙干);  Kong, Yu   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/08/03 Image denoising  Noise measurement  Training  Noise reduction  Generative adversarial networks  Visualization  Task analysis  Image denoising  attention guided scaling  feature collection and distribution  object recognition  semantic segmentation   Agerelated differences in attention and memory toward emotional stimuli 期刊论文  OAI收割 PsyCh Journal, 2015, 期号: 4, 页码: 155-159 作者:  Dandan Bi;  Buxin Han   |  收藏  |  浏览/下载：19/0  |  提交时间：2018/03/06 attention  gaze pattern  negative reduction effect  positivity effect  recognition   An information theoretic approach to model reduction based on frequency-domain Cross-Gramian information (EI CONFERENCE) 会议论文  OAI收割 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, July 7, 2010 - July 9, 2010, Jinan, China 作者:  Zhou J. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 We focused our attention on model reduction for linear time invariant (LTI) continuous time systems with single input and single output (SISO). We analyzed the strongpoint and shortcoming of an information theoretic approach called minimum information loss method for model reduction. We explained relationships between the steady-state information entropy and controllability information for the Gaussian systems. The controllability  observability and Cross-Gramian information were analyzed in the time-domain. The frequency-domain Cross-Gramian information (FCGI) was defined based on Cross-Gramian matrix containing information associated with both controllability and observability. Furthermore  a valuable application of the frequency-domain Cross-Gramian information to model reduction (FCGMIL) was developed by using the concept and properties of frequency-domain Cross-Gramian information. The performance index of FCGMIL is to minimize the frequency-domain Cross-Gramian information loss caused by eliminating the state variables with weak contributions to Cross-Gramian information over some frequency band. Two numerical examples are illustrated to verify the efficiency of FCGMIL. 2010 IEEE.