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浏览/检索结果: 共114条，第1-10条 帮助 限定条件 发表日期：2019    专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A New Dictionary Construction Based Multimodal Medical Image Fusion Framework 期刊论文 ENTROPY, 2019, 卷号: 21 作者:  Zhou, Fuqiang;  Li, Xiaosong;  Zhou, Mingxuan;  Chen, Yuanze;  Tan, Haishu 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 medical image fusion  dictionary learning  sparse representation  multi-scale spatial frequency   Parameter learning for an intuitionistic fuzzy belief rule-based systems based on weight and reliability 期刊论文 Journal of Advanced Computational Intelligence and Intelligent Informatics, 2019, 卷号: 23, 页码: 219-228 作者:  Wang, Yanni 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Fuzzy sets  Learning systems  Mean square error  Belief  Belief rule-based systems  Evidence reasoning  Fuzzy  Intuitionistic fuzzy  Learning process  Parameter learning  Weight  Reliability   Research on Text Detection in Network Advertisement Picture Based on Depth Learning 会议论文 Proceedings of 2018 International Conference on Information Systems and Computer Aided Education, ICISCAE 2018, 2018-07-06 作者:  Cao, X.;  Wai, T.P. 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 Character recognition  Computational complexity  Information systems  Information use  Marketing  Neural networks  BP neural networks  component  depth learning  Learning methods  Network information technology  Network technologies  Online advertising  Sensitive informations  Computer aided instruction   On-Board Ship Detection in Micro-Nano Satellite Based on Deep Learning and COTS Component 期刊论文 REMOTE SENSING, 2019, 卷号: 11 作者:  Yao, Yuan;  Jiang, Zhiguo;  Zhang, Haopeng;  Zhou, Yu 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 on-board processing  ship detection  micro-nano satellite  deep learning  COTS component   A Novel Method of Hyperspectral Data Classification Based on Transfer Learning and Deep Belief Network 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者:  Li, Ke;  Wang, Mingju;  Liu, Yixin;  Yu, Nan;  Lan, Wei 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 hyperspectral data  deep learning  transfer learning  DBN   Tropical cyclone intensity prediction based on recurrent neural networks 期刊论文 ELECTRONICS LETTERS, 2019, 卷号: 55, 页码: 413-414 作者:  Pan, Bin;  Xu, Xia;  Shi, Zhenwei 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Deep learning  Forecasting  Recurrent neural networks  Storms  Tropics  Accurate prediction  Data-driven approach  Historical observation  Intensity prediction  Learning approach  Tropical cyclone  Tropical cyclone intensity  Western North Pacific  Hurricanes   Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method 期刊论文 EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 115, 页码: 16-21 作者:  Min, Xiangde;  Li, Min;  Dong, Di;  Feng, Zhaoyan;  Zhang, Peipei 收藏  |  浏览/下载：30/0  |  提交时间：2019/12/30 Magnetic resonance imaging  Prostatic neoplasms  Neoplasm grading  Radiomics   Transfer-learning based gas path analysis method for gas turbines 期刊论文 APPLIED THERMAL ENGINEERING, 2019, 卷号: 155, 页码: 1-13 作者:  Tang, Shanxuan;  Tang, Hailong;  Chen, Min 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30 Diagnosis  Gas path analysis  Transfer learning  Artificial neural networks  Gas turbine engine   Recognition of Yoga poses through an interactive system with Kinect based on confidence value 会议论文 ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics 作者:  Trejo, E.W.;  Yuan, P. 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/30 Adaptive boosting  Human computer interaction  Learning systems  Robotics  Sports  AdaBoost algorithm  Confidence values  Interactive system  kinect  Low-cost solution  Recognition algorithm  Sports trainings  yoga  Gesture recognition   Deep depth-based representations of graphs through deep learning networks 期刊论文 NEUROCOMPUTING, 2019, 卷号: 336, 页码: 3-12 作者:  Bai, Lu;  Cui, Lixin;  Bai, Xiao;  Hancock, Edwin R. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Depth-based representations  Deep representations  Deep autoencoder networks  Prototype representations