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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [4]
计算技术研究所 [2]
心理研究所 [2]
长春光学精密机械与物... [1]
科技战略咨询研究院 [1]
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OAI收割 [10]
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期刊论文 [8]
会议论文 [1]
期刊 [1]
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2024 [1]
2023 [1]
2022 [2]
2020 [1]
2018 [2]
2017 [1]
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学科主题
认知心理学 [1]
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PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2024, 页码: 12
作者:
Huang, Zhen
;
Li, Han
;
Shao, Shitong
;
Zhu, Heqin
;
Hu, Huijie
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/05/20
Bone extraction
CT structural knowledge
Landmark detection
Pelvis X-rays
Dual Structural Knowledge Interaction for Domain Adaptation
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9057-9070
作者:
Zuo, Yukun
;
Yao, Hantao
;
Zhuang, Liansheng
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/02/21
Manifolds
Feature extraction
Adaptation models
Representation learning
Task analysis
Semisupervised learning
Pattern recognition
Domain adaptation
structural knowledge
dual structural knowledge interaction
Markovian Policy Network for Efficient Robot Learning
期刊
OAI收割
创刊日期: 2022,
作者:
Zhang FY(张丰一), Yurou Chen, Zhiyong Liu
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2023/01/12
Efficient robot learning
Structural prior knowledge
Reinforcement learning
Graph neural network
How Do Mobile Social Apps Matter for College Students' Satisfaction in Group-Based Learning? The Mediation of Collaborative Learning
期刊论文
OAI收割
FRONTIERS IN PSYCHOLOGY, 2022, 卷号: 13
作者:
Wang, Xuyan
;
Zhang, Renyu
;
Wang, Xiaojiong
;
Xu, Dongming
;
Tian, Fangqing
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/05/30
mobile social apps
knowledge sharing
collaborative learning
course satisfaction
structural equation model
Learning to Recognize Visual Concepts for Visual Question Answering With Structural Label Space
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 3, 页码: 494-505
作者:
Gao, Difei
;
Wang, Ruiping
;
Shan, Shiguang
;
Chen, Xilin
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/12/10
Visualization
Semantics
Grounding
Knowledge discovery
Sports
Task analysis
Image recognition
Visual question answering
visual concept recognition
structural label space
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: 0, 页码: 280-290
作者:
Fan, Xing-Rong
;
Wang, Xiujuan
;
Kang, Mengzhen
;
Hua, Jing
;
Guo, Shuangsheng
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2018/10/10
Closed Ecological Life Support System
Functional-structural Plant Model
Knowledge-and-data-driven Model
Mass Balance Model
Model Evaluation
And Model Verification
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 页码: 280-290
作者:
Fan, Xing-Rong
;
Wang, Xiujuan
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/16
Closed Ecological Life Support System
Functional-structural Plant Model
Knowledge-and-data-driven Model
Mass Balance Model
Model Evaluation
And Model Verification
A multilevel analysis of the role of interactional justice in promoting knowledge-sharing behavior: The mediated role of organizational commitment
期刊论文
OAI收割
INDUSTRIAL MARKETING MANAGEMENT, 2017, 卷号: 62, 期号: 0, 页码: 226-233
作者:
Li, Xiaoshan
;
Zhang, Jianxin
;
Zhang, Shanshan
;
Zhou, Mingjie
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2017/08/23
Organizational commitment
Knowledge donating
Knowledge collecting
Interactional justice
Multilevel structural equation modeling (MSEM)
TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yao Z.
;
Han Q.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute
most of them need plenty of samples and prior Knowledge. In this paper
within a few evident samples (not too many)
we can first get the texture feature of each component and the structures
then select the approximately location randomly of the objects or patches of them
then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.
Can unconscious knowledge allow control in sequence learning?
期刊论文
OAI收割
CONSCIOUSNESS AND COGNITION, 2010, 卷号: 19, 期号: 1, 页码: 462-474
作者:
Fu, Qiufang
;
Dienes, Zoltan
;
Fu, Xiaolan
;
Qiufang Fu
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2014/06/10
Sequence learning
Implicit learning
Subjective measures
The Process Dissociation Procedure
Control
Judgment knowledge
Structural knowledge