QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 内容类型：会议论文     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 Image Denoising Based on Non-parametric ADMM Algorithm 会议论文 ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2018, PT II, 2018-01-01 作者:  Ye, Xinchen;  Zhang, Mingliang;  Yan, Qianyu;  Fan, Xin;  Luo, Zhongxuan 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/02 Image denoising  Prior learning  Neural network  Alternating direction method of multiplier   Manifold Constrained Low-Rank Decomposition 会议论文 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), 2017-01-01 作者:  Chen, Chen;  Zhang, Baochang;  Del Bue, Alessio;  Murino, Vittorio 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Alignment  Alternating direction method of multiplier (ADMM)  Illumination variation  Low-rank decomposition  Manifold constraints  Planar surface  Realistic images  State of the art  State-of-the-art methods  Computer vision   DOPF of Radial Distribution Network based on ADMM 会议论文 Chinese Automation Congress (CAC), OCT 20-22, 2017 作者:  Su, Jianjun;  Zhu, Xingxu;  Li, Wenbo;  Han, Xueshan;  Li, Huadong 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31 alternating direction multiplier method  coordination  radial  distribution  optimal power flow  photovoltaic generator   Deep ADMM-Net for compressive sensing MRI 会议论文 作者:  Yang, Yan;  Sun, Jian;  Li, Huibin;  Xu, Zongben 收藏  |  浏览/下载：5/0  |  提交时间：2019/11/26 Alternating direction method of multiplier (ADMM)  Computational overheads  Computational speed  Effective approaches  Magnetic Resonance Imaging (MRI)  Optimized parameter  Reconstruction accuracy  Shrinkage functions   Distributed optimization strategy for multi-region power scheduling based on alternating direction method of multipliers 会议论文 作者:  Sun, Chenlin;  Wu, Jiang;  Gao, Feng;  Guan, Xiaohong 收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26 Alternating direction method of multiplier (ADMM)  Alternating direction method of multipliers  Centralized optimization  Computational performance  Cost minimization models  Distributed optimization  Distributed scheduling models  Global optimal solutions