机构

• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 西安光学精密机械研究... [1]
• 软件研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 会议论文 [3]
• 期刊论文 [3]

发表日期

• 2021 [1]
• 2020 [1]
• 2019 [1]
• 2018 [1]
• 2009 [1]
• 2002 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Hierarchical Edge Refinement Network for Saliency Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7567-7577 作者:  Song, Dawei;  Dong, Yongsheng;  Li, Xuelong   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/09/30 Image edge detection  Feature extraction  Saliency detection  Data mining  Convolution  Semantics  Visualization  Saliency detection  edge preserving network  atrous spatial pyramid pooling module  one-to-one hierarchical supervision strategy   一种基于拓扑结构及分配机制设计的多子块激励共识机制 期刊论文  OAI收割 计算机科学, 2020, 卷号: 47, 期号: 7, 页码: 268-277 作者:  刘帅;  甘国华;  刘明熹;  房勇;  汪寿阳   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/01/14 Blockchain  Consensus  Inspire miner  Mining strategy  区块链  共识  矿工激励  挖矿策略   A novel hybrid share reporting strategy for blockchain miners in PPLNS pools 期刊论文  OAI收割 DECISION SUPPORT SYSTEMS, 2019, 卷号: 118, 期号: NA, 页码: 91-101 作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue   |  收藏  |  浏览/下载：128/0  |  提交时间：2019/07/12 Share reporting strategy  Blockchain mining  PPLNS reward  Pool mining  Computational experiments approach   Optimal Share Reporting Strategies for Blockchain Miners in PPLNS Pools 会议论文  OAI收割 Miyataka, Japan, Oct. 7-10, 2018 作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue   |  收藏  |  浏览/下载：58/0  |  提交时间：2018/09/20 Share Reporting Strategy  Blockchain Mining  Pplns Reward  Pool Mining  Computational Experiments Approach   A dynamic data mining model for engineering management (EI CONFERENCE) 会议论文  OAI收割 2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009, August 8, 2009 - August 9, 2009, Sanya, China Zhu J.-W.; Tang Y.-G. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 Data mining has become increasingly critical for the success of companies in this emerging era of Engineering Management. As Engineering Management activities increasingly shift to the web  the challenge facing corporate management is maintaining competitive advantage by building strong relations with employees  customers  and suppliers and partners. A good data mining strategy can help achieve this goal. Unfortunately  many companies use data mining technologies that do not suit today's new information era. This paper addresses the definitions about data mining  area of data mining  development of data mining  then provide an summary of the driving and impeding forces that help and hinder proper deployment of data mining strategies in Engineering Management. Finally  the paper advocates the strategy of data mining for Engineering Management. 2009 IEEE.   objective-oriented utility-based association mining 会议论文  OAI收割 2nd IEEE International Conference on Data Mining, MAEBASHI CITY, JAPAN, DEC 09-12, Shen YD; Zhang Z; Yang Q   |  收藏  |  浏览/下载：18/0  |  提交时间：2011/07/29 a priori algorithm  association pattern discovery  association pattern modeling  business  data mining  enterprise  objective-oriented utility-based association mining  pruning strategy  semantic information  data mining