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
自动化研究所 [10]
计算技术研究所 [7]
上海神经科学研究所 [1]
海洋研究所 [1]
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OAI收割 [19]
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期刊论文 [18]
会议论文 [1]
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2026 [1]
2025 [1]
2023 [4]
2022 [4]
2020 [4]
2019 [1]
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学科主题
Neuroscien... [1]
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浏览/检索结果:
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Major depressive disorder detection via temporal-frequency-spatial transformer with sub-domain knowledge alignment using EEG
期刊论文
OAI收割
NEURAL NETWORKS, 2026, 卷号: 193, 页码: 12
作者:
Xu, Chen-Yang
;
Fan, Fei-Yi
;
Zhao, Li-Xuan
;
Jin, Li-Cheng
;
Zhang, Yong-Hui
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/12/03
MDD detection
Sub-domain knowledge alignment (SDKA)
Temporal-frequency-spatial transformer (TFST)
Frequency attention (FA)
End-to-End Optimized Lossy Compression for Neural-Morphic Spiking Camera Captured Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2025, 卷号: 35, 期号: 6, 页码: 6074-6086
作者:
Feng, Kexiang
;
Jia, Chuanmin
;
Pan, Jingshan
;
Ma, Siwei
;
Gao, Wen
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/12/03
Image coding
Cameras
Image reconstruction
Streams
Correlation
Redundancy
Visualization
Firing
Spatial resolution
Retina
Spike compression
spatio-temporal contextual compression
attention mechanism
end-to-end spike coding
Mining collaborative spatio-temporal clues for face forgery detection
期刊论文
OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 20
作者:
Ding, Bo
;
Fan, Zhenfeng
;
Zhao, Zejun
;
Xia, Shihong
  |  
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2023/12/04
Face forgery detection
Spatial-temporal clue
Low-level feature
Collaborative learning
Multimodel attention
Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2023, 页码: 17
作者:
Gao, Chenlong
;
Chen, Yiqiang
;
Jiang, Xinlong
;
Hu, Lisha
;
Zhao, Zhicheng
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2023/07/12
Human activity recognition
Spatial-temporal attention
Bilinear pooling
Low-redundancy
HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection
期刊论文
OAI收割
COMPUTERS & SECURITY, 2023, 卷号: 125, 页码: 14
作者:
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2023/07/12
Malware domain detection
Spatial -Temporal contextual correlation
Heterogeneous attention network
Statistical -and -Structural information
BiTCAN: A emotion recognition network based on saliency in brain
期刊论文
OAI收割
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 卷号: 20, 期号: 12, 页码: 21537-21562
作者:
An, Yanling
;
Hu, Shaohai
;
Liu, Shuaiqi
;
Li, Bing
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2024/03/26
EEG
emotion recognition
spatio-temporal features
Bi-hemispheric discrepancy
spatial attention
attention mechanism
Learning Semantic-Aware Spatial-Temporal Attention for Interpretable Action Recognition
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 8, 页码: 5213-5224
作者:
Fu, Jie
;
Gao, Junyu
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:91/0
  |  
提交时间:2022/09/19
Visualization
Semantics
Task analysis
Three-dimensional displays
Feature extraction
Solid modeling
Predictive models
Semantic-aware
spatial-temporal attention
interpretable
action recognition
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:
Ye, Xue
;
Fang, Shen
;
Sun, Fang
;
Zhang, Chunxia
;
Xiang, Shiming
  |  
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2022/09/19
Traffic prediction
Spatial-temporal modeling
Meta-learning
Attention mechanism
Deep learning
A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification
期刊论文
OAI收割
SENSORS, 2022, 卷号: 22, 期号: 3, 页码: 16
作者:
Sun, Tao
;
Xu, Yongjun
;
Zhang, Zhao
;
Wu, Lin
;
Wang, Fei
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2022/12/07
ship classification
spatial-temporal embedding
feature enhancement
deep learning
attention
A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 19
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Zhang, Wenhao
  |  
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2022/07/18
Deep fully convolutional networks (FCNs)
recursively predicting
satellite-derived sea ice concentration (SIC)
SIC prediction
temporal-spatial attention