中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
心理研究所 [3]
自动化研究所 [1]
合肥物质科学研究院 [1]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2024 [1]
2021 [1]
2018 [1]
2017 [1]
2016 [1]
学科主题
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The effect of congruent emotional context on semantic memory during discourse comprehension
期刊论文
OAI收割
COGNITION & EMOTION, 2024, 页码: 18
作者:
Zhang, Qian
;
Li, Lin
;
Yang, Xiaohong
;
Yang, Yufang
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/11/26
Emotional context
semantic memory
discourse comprehension
eye movement
The effect of congruent emotional context in emotional word processing during discourse comprehension
期刊论文
OAI收割
Journal of Neurolinguistics, 2021, 卷号: 59, 页码: 1-14
作者:
Zhang, Qian
;
Ding, Jinfeng
;
Zhang, Zhenyu
;
Yang, Xiaohong
;
Yang, Yufang
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/06/15
Emotional context
Emotional words
Discourse comprehension
N400
Late positivity
Emotional context modulates micro-expression processing as reflected in event-related potentials
期刊论文
OAI收割
PSYCH JOURNAL, 2018, 卷号: 7, 期号: 1, 页码: 13-24
作者:
Zhang, Ming
;
Fu, Qiufang
;
Chen, Yu-Hsin
;
Fu, Xiaolan
;
Fu,Qiufang
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2018/05/28
emotional context
event-related potentials
micro-expressions
P1
A realistic 3D articulatory animation system for emotional visual pronunciation
期刊论文
OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 18, 页码: 19241-19262
作者:
Yu, Lingyun
;
Yu, Jun
;
Wang, Zengfu
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/08/16
Articulatory Movement
Hidden Markov Model
Fully Context-dependent Modeling
Emotional Speech
Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 1, 页码: 76-89
作者:
Hu, Weiming
;
Ding, Xinmiao
;
Li, Bing
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2016/03/19
Cost-sensitive context-aware multi-instance sparse coding (MI-SC)
horror video recognition
multi-perspective multi-instance joint sparse coding (MI-J-SC)
video emotional feature extraction
violent video recognition