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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2020     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 High-Quality Video Generation from Static Structural Annotations 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2020, 页码: 18 作者:  Sheng, Lu;  Pan, Junting;  Guo, Jiaming;  Shao, Jing;  Loy, Chen Change 收藏  |  浏览/下载：10/0  |  提交时间：2020/12/10 Unsupervised learning  Conditioned generative model  Image and video synthesis  Motion prediction and estimatiovn   Semi-supervised partial least squares 期刊论文 INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 卷号: 18, 期号: 3, 页码: 1-12 作者:  Jin, Xi;  Zhang, Xing;  Rao, Kaifeng;  Tang, Liang;  Xie, Qiwei 收藏  |  浏览/下载：12/0  |  提交时间：2021/09/14 Partial least squares  semi-supervised  unsupervised learning  dimensionality reduction  principal model analysis   Robust spike-and-slab deep Boltzmann machines for face denoising 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 7, 页码: 2815-2827 作者:  Zhang, Nan;  Ding, Shifei;  Zhang, Jian;  Zhao, Xingyu 收藏  |  浏览/下载：7/0  |  提交时间：2020/12/10 Restricted Boltzmann machine  Deep Boltzmann machine  Unsupervised learning  Denoising   Deep Self-Evolution Clustering 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823 作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong 收藏  |  浏览/下载：16/0  |  提交时间：2020/06/02 Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning   Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031 作者:  Zhang, Yuyang;  Xu, Shibiao;  Wu, Baoyuan;  Shi, Jian;  Meng, Weiliang 收藏  |  浏览/下载：16/0  |  提交时间：2020/08/03 Estimation  Training  Feature extraction  Geometry  Computer vision  Cameras  Unsupervised learning  Unsupervised learning  DenseDepthNet  multi-view geometry constraint  depth consistency   Learning a Deep Predictive Coding Network for a Semi-Supervised 3D-Hand Pose Estimation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1371-1379 作者:  Jamal Banzi;  Isack Bulugu;  Zhongfu Ye 收藏  |  浏览/下载：14/0  |  提交时间：2021/03/11 Convolutional neural networks  deep learning  hand pose estimation  human-machine interaction  predictive coding  recurrent neural networks  unsupervised learning   Dual Networks for High-Precision and High-Speed Registration of Brain Electron Microscopy Images 期刊论文 Brain Sciences, 2020, 卷号: 10, 期号: 2, 页码: 86 作者:  Shu, Chang;  Xin, Tong;  Zhou, Fangxu;  Chen, Xi;  Han, Hua 收藏  |  浏览/下载：10/0  |  提交时间：2020/04/27 Computer Vision  Image Processing  Deep Learning  Image Registration  Electron Microscopy Image  Dual Network Architecture  Unsupervised Learning   Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54 作者:  Chang-Hao Zhu;  Jie Zhang 收藏  |  浏览/下载：16/0  |  提交时间：2021/02/22 Polymer melt index  soft sensor  deep learning  deep belief network (DBN)  unsupervised training.   Nuclear liquid-gas phase transition with machine learning 期刊论文 Physical Review Research, 2020, 卷号: 2, 期号: 4 作者:  Wang, Rui;  Ma, Yu-Gang;  Wada, R.;  Chen, Lie-Wen;  He, Wan-Bing 收藏  |  浏览/下载：23/0  |  提交时间：2021/09/06 Learning systems  Gases  Heavy ions  Liquefied gases  Unsupervised learning  Curve method  Final state  Heavy  ion reactions  Limiting temperature  Liquid and gas phasis  Liquid  gas phase transition  Machine learning techniques  Supervised and unsupervised learning   CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation 会议论文 Glasgow, United kingdom, August 23-28, 2020 作者:  Dong JH(董家华);  Cong Y(丛杨);  Sun G(孙干);  Liu YY(刘宇阳);  Xu XW(徐晓伟) 收藏  |  浏览/下载：12/0  |  提交时间：2021/03/14 Unsupervised domain adaptation  Semantic segmentation  Adversarial learning  Reinforcement learning  Pseudo label