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北京航空航天大学 [40]
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期刊论文 [25]
会议论文 [15]
发表日期
2019 [9]
2018 [14]
2017 [5]
2016 [2]
2015 [3]
2014 [3]
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专题:北京航空航天大学
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Sentiment analysis of social images via hierarchical deep fusion of content and links
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 80, 页码: 387-399
作者:
Xu, Jie
;
Huang, Feiran
;
Zhang, Xiaoming
;
Wang, Senzhang
;
Li, Chaozhuo
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Multi-modal
Social image
Skip-gram
Sentiment analysis
Simulation and experimental research of transmission characteristics of multi-modal oam antenna array based on vortex electromagnetic wave
会议论文
International Conference on Communication Technology Proceedings, ICCT, 2018-10-08
作者:
Yan, W.
;
Zhang, Y.
;
Wang, J.
;
Liang, R.
;
Tong, Y.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Angular momentum
Circular waveguides
Directional patterns (antenna)
Electromagnetic waves
Vortex flow
Array antennas
Experimental research
Isolation
Orbital angular momentum
Receiving arrays
Simulations and measurements
Transmission characteristics
Transmission performance
Antenna arrays
Joint Representation Learning for Multi-Modal Transportation Recommendation
会议论文
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019-01-01
作者:
Liu, Hao
;
Li, Ting
;
Hu, Renjun
;
Fu, Yanjie
;
Gu, Jingjing
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Dynamic behavior analysis and multi-sensor modal information fusion for robotic milling system
会议论文
12th International Conference on Intelligent Robotics and Applications, ICIRA 2019, Shenyang, China, 2019-08-08
作者:
Hao, Daxian
;
Wang, Wei
;
Zhang, Gang
;
Wang, Qilong
;
Yun, Chao
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Mode transition control law design for a multi-modal UAV
会议论文
8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019, Chongqing, China, 2019-05-24
作者:
Liu, Yang
;
Wang, Hua
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System
会议论文
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019-01-01
作者:
Liu, Hao
;
Tong, Yongxin
;
Zhang, Panpan
;
Lu, Xinjiang
;
Duan, Jianguo
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/30
Transportation recommendation
context-aware
personalized
feature engineering
deployment
Multi-modal multi-layer fusion network with average binary center loss for face anti-spoofing
会议论文
27th ACM International Conference on Multimedia, MM 2019, Nice, France, 2019-10-21
作者:
Kuang, Huafeng
;
Ji, Rongrong
;
Liu, Hong
;
Zhang, Shengchuan
;
Sun, Xiaoshuai
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Visual-textual sentiment classification with bi-directional multi-level attention networks
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: 178, 页码: 61-73
作者:
Xu, Jie
;
Huang, Feiran
;
Zhang, Xiaoming
;
Wang, Senzhang
;
Li, Chaozhuo
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Multi-modal
Social image
Attention model
Sentiment analysis
A 3D general method of cells model for plain weave composites [一种平纹编织复合材料的三维通用单胞模型]
期刊论文
Hangkong Dongli Xuebao/Journal of Aerospace Power, 2019, 卷号: 34, 页码: 608-615
作者:
Hu, D.
;
Yang, Y.
;
Guo, X.
;
Zhang, L.
;
Wang, R.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
3D modeling
Cells
Composite materials
Cytology
Modal analysis
Weaving
Braided composites
General method
Mechanical response
Multi-scale simulation
Plain weave
Structural characteristics
Technical difficulties
Unit cell modeling
Finite element method
Multimodal fusion of EEG and fMRI for epilepsy detection
期刊论文
International Journal of Modeling, Simulation, and Scientific Computing, 2018, 卷号: 9
作者:
Wang, X.
;
Gong, G.
;
Li, N.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Brain computer interface
Brain models
Diagnosis
Frequency estimation
Magnetic resonance imaging
Neurology
Spectrum analysis
Communication and control
Diagnostic efficiency
Epilepsy detection
Functional magnetic resonance imaging
High-time resolution
Multi-modal fusion
Spectral estimation methods
Time frequency analysis
Functional neuroimaging
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