中国科学院机构知识库网格系统: 检索

Hyperspectral Band Selection With Iterative Graph Autoencoder 期刊论文 OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者: Zhou, Yuan; Yao, Qingren; Huo, Shuwei; Li, Xiaofeng

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收藏 | 浏览/下载：12/0 | 提交时间：2023/12/07

Feature extraction Iterative methods Symmetric matrices Hyperspectral imaging Convolution Correlation Task analysis Graph autoencoder (GAE) graph representation hyperspectral band selection (BS) representativeness

Adversarial Information Bottleneck 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者: Zhai, Penglong; Zhang, Shihua

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收藏 | 浏览/下载：20/0 | 提交时间：2023/02/07

Robustness Optimization Mutual information Deep learning Perturbation methods Training Task analysis Adversarial robustness deep learning hyperparameter selection information bottleneck (IB)

Global-Guided Selective Context Network for Scene Parsing 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1752-1764
作者: Jiang, Jie; Liu, Jing; Fu, Jun; Zhu, Xinxin; Li, Zechao

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收藏 | 浏览/下载：67/0 | 提交时间：2022/06/14

Semantics Task analysis Decoding Logic gates Image color analysis Fuses Feature extraction Attention mechanism (AM) contextual selection global guidance (GG) scene parsing

Feature Rescaling and Fusion for Tiny Object Detection 期刊论文 OAI收割
IEEE ACCESS, 2021, 卷号: 9, 页码: 62946-62955
作者: Liu, Jingwei; Gu, Yi; Han, Shumin; Zhang, Zhibin; Guo, Jiafeng

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收藏 | 浏览/下载：65/0 | 提交时间：2021/12/01

Feature extraction Object detection Semantics Task analysis Training Spatial resolution Shape Tiny object detection nonparametric adaptive selection feature fusion feature pyramid network ensemble model

Hierarchical Lifelong Machine Learning with Watchdog 期刊论文 OAI收割
IEEE Transactions on Big Data, 2021, 页码: 1-12
作者: Sun G(孙干); Cong Y(丛杨); Gu CJ(古长军); Tang X(唐旭); Ding ZM(丁正明)

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收藏 | 浏览/下载：20/0 | 提交时间：2021/09/29

Lifelong machine learning Task selection Dictionary learning Outlier detection Online learning

SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者: Xie, Guo-Sen; Zhang, Zheng; Liu, Li; Zhu, Fan; Zhang, Xu-Yao

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收藏 | 浏览/下载：27/0 | 提交时间：2021/01/07

Training Task analysis Learning systems Computational modeling Optimization Support vector machines Principal component analysis Feature learning feature selection least squares subspace learning

Distributed Functional Connectivity Impairment in Schizophrenia: A Multi-site Study 会议论文 OAI收割
武汉, 2017-05-13
作者: Yang Y(杨勇); Cui,Yue; Xu,Kaibing; Liu,Bing; Song,Ming

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收藏 | 浏览/下载：40/0 | 提交时间：2017/05/09

Functional Mri Schizophrenia Multi-task Learning Feature Selection

The influence of spatial ability and experience on performance during spaceship rendezvous and docking 期刊论文 OAI收割
FRONTIERS IN PSYCHOLOGY, 2015, 卷号: 6, 期号: 0, 页码: 955
作者: Du, Xiaoping; Zhang, Yijing; Tian, Yu; Huang, Weifen; Wu, Bin

收藏 | 浏览/下载：31/0 | 提交时间：2015/12/07

spatial ability experience task performance manual rendezvous and docking astronaut selection astronaut training

批量遥感影像湖泊提取后的矢量拼接策略问题[J] 期刊论文 OAI收割
武汉大学学报(信息科学版), 2015, 卷号: 4, 页码: 444-451
作者: 沈占锋; 李均力; 夏列钢; 吴炜; 骆剑承

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收藏 | 浏览/下载：40/0 | 提交时间：2017/12/29

矢量拼接湖泊策略任务队列间隔选择 Vector Data Union Lakes Policy Policy Based On Task Queue Policy Based On Interval Selection

Optimum design of the carbon fiber thin-walled baffle for the space-based camera (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Yan Y.; Gu S.; An Y.; Jin G.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

The thin-walled baffle design of the space-based camera is an important job in the lightweight space camera research task for its stringent quality requirement and harsh mechanical environment especially for the thin-walled baffle of the carbon fiber design. In the paper an especially thin-walled baffle of the carbon fiber design process was described and it is sound significant during the other thin-walled baffle design of the space camera. The designer obtained the design margin of the thin-walled baffle that structural stiffness and strength can tolerated belong to its development requirements through the appropriate use of the finite element analysis of the walled parameters influence sensitivity to its structural stiffness and strength. And the designer can determine the better optimization criterion of thin-walled baffle during the geometric parameter optimization process in such guiding principle. It sounds significant during the optimum design of the thin-walled baffle of the space camera. For structural stiffness and strength of the carbon fibers structure which can been designed the effect of the optimization will be more remarkable though the optional design of the parameters chose. Combination of manufacture process and design requirements the paper completed the thin-walled baffle structure scheme selection and optimized the specific carbon fiber fabrication technology though the FEM optimization and the processing cost and process cycle are retrenchment/saved effectively in the method. Meanwhile the weight of the thin-walled baffle reduced significantly in meet the design requirements under the premise of the structure. The engineering prediction had been adopted and the related result shows that the thin-walled baffle satisfied the space-based camera engineering practical needs very well its quality reduced about 20% the final assessment index of the thin-walled baffle were superior to the overall design requirements significantly. The design method is reasonable and efficient to the other thin-walled baffle that mass and work environment requirement is requirement harsh. 2011 SPIE.