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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 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 MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging 会议论文 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018 作者:  Zhang, C.;  Song, Y.;  Liu, S.;  Lill, S.;  Wang, C. 收藏  |  浏览/下载：23/0  |  提交时间：2019/12/30 Brain mapping  Decoding  Deep learning  Image classification  Image segmentation  Semantics  Signal encoding  Automated segmentation  Image translation  Localization performance  Multiple sclerosis  Multiple sclerosis lesions  Performance comparison  Semantic segmentation  State-of-the-art techniques  Magnetic resonance imaging   Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 6, 页码: 131-141 作者:  Shang, M.;  Luo, X.;  Liu, Z.;  Chen, J.;  Yuan, Y. 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 Analytical models  Big data  Buildings  Computational efficiency  Data mining  Data structures  Iterative methods  Learning systems  Adaptation models  Computational burden  Computational model  Latent factor models  Learning techniques  Prediction accuracy  Sparse matrices  State of the art  Matrix algebra   A Highly Non-Volatile Memory Scalable and Efficient File System 会议论文 2018 IEEE 36TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), 2018-01-01 作者:  Yang, Fan;  Kang, Junbin;  Ma, Shuai;  Huai, Jinpeng 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Computer architecture  Nonvolatile storage  Scalability  Virtual storage  Consistency  Data consistency  File systems  Non-volatile memory  Novel techniques  Performance  State of the art  Strong consistency  File organization   Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 会议论文 ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control 作者:  Chen, J.;  Luo, X. 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Computational efficiency  Iterative methods  Learning systems  Matrix algebra  Neural networks  Computational burden  Latent factor analysis  Latent factor models  Learning techniques  Prediction accuracy  Randomized Learning  Sparse matrices  State of the art  Data mining   An Amplitudes-Perturbation Data Augmentation Method in Convolutional Neural Networks for EEG Decoding 会议论文 2018 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2018 作者:  Zhang, X.-R.;  Lei, M.-Y.;  Li, Y. 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Brain computer interface  Convolution  Cutting tools  Decoding  Deep learning  Electroencephalography  Electrophysiology  Frequency domain analysis  Neural networks  Perturbation techniques  Convolutional neural network  Data augmentation  Frequency domains  Learning models  Neural information  Number of samples  Signal recognition  State of the art  Biomedical signal processing   Improved benders decomposition for capacitated hub location problem with incomplete hub networks 会议论文 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings 作者:  Xu, Y.;  Dai, W.;  Sun, X.;  Wandelt, S. 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Location  Site selection  Stochastic programming  Benders decomposition  Benders decomposition algorithm  Capacity constraints  Computation time  Hub location problems  Network design  Solution techniques  State of the art  Problem solving   Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems 期刊论文 MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 卷号: 2018 作者:  Cui, Weijia;  He, Yuzhu 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Benchmarking  Global optimization  Iterative methods  Experience informations  Flower pollination algorithms  Global optimization problems  Optimization techniques  Orthogonal experiment design  Population diversity  Pre-mature convergences  State-of-the-art algorithms  Bioinformatics   An Efficient Racetrack Memory-Based Processing-In-Memory Architecture for Convolutional Neural Networks 会议论文 2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017), 2017-01-01 作者:  Liu, Bicheng;  Gu, Shouzhen;  Chen, Mingsong;  Kang, Wang;  Hu, Jingtong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Bandwidth  Complex networks  Convolution  Domain walls  Energy efficiency  Magnetic storage  Network architecture  Neural networks  Ubiquitous computing  Computing techniques  Convolutional neural network  Full adders  Memory bandwidths  Memory wall  Processing in memory  Skyrmion  State of the art  Memory architecture