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科研机构
北京航空航天大学 [4]
内容类型
会议论文 [3]
期刊论文 [1]
发表日期
2019 [2]
2018 [2]
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专题:北京航空航天大学
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Forecasting short-term residential electricity consumption using a deep fusion model
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 359-371
作者:
Lei, M.
;
Tang, L.
;
Li, M.
;
Ye, Z.
;
Pan, L.
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浏览/下载:1/0
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提交时间:2019/12/30
Convolution
Forecasting
Housing
Neural networks
Convolutional neural network
Electricity consumption forecasting
Electricity-consumption
Fully connected neural network
Residential electricity
Residential electricity consumption
Short term load forecasting
Short term prediction
Electric power utilization
Predictive Resource Allocation with Deep Learning
会议论文
IEEE Vehicular Technology Conference, 2018-08-27
作者:
Guo, J.
;
Yang, C.
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浏览/下载:2/0
  |  
提交时间:2019/12/30
Complex networks
Forecasting
Quality of service
Resource allocation
Active Learning
Fully connected neural network
Optimal solutions
Optimization problems
Radio resources
Real time service
Residual resource
Selective sampling
Deep neural networks
Automatic 4D Facial Expression Recognition using Dynamic Geometrical Image Network
会议论文
PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018), 2018-01-01
作者:
Li, Weijian
;
Huang, Di
;
Li, Huibin
;
Wang, Yunhong
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浏览/下载:8/0
  |  
提交时间:2019/12/30
Deep neural networks
Geometry
Gesture recognition
3-D facial expression recognition
Data augmentation
Differential geometry
Facial expression recognition
Fully-connected layers
Loss functions
Similarity measurements
Sliding window schemes
Face recognition
Visual and textual sentiment analysis using deep fusion convolutional neural networks
会议论文
Proceedings - International Conference on Image Processing, ICIP
作者:
Chen, X.
;
Wang, Y.
;
Liu, Q.
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浏览/下载:6/0
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提交时间:2019/12/30
Convolution
Deep neural networks
Image processing
Neural networks
Semantics
Sentiment analysis
Convolutional neural network
Fully-connected layers
Hot research topics
Personalized recommendation
State-of-the-art methods
Textual data
Training example
Visual sentiment
Data mining
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