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北京航空航天大学 [114]
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期刊论文 [62]
会议论文 [52]
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2020 [1]
2019 [32]
2018 [39]
2017 [21]
2016 [5]
2015 [7]
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共114条,第1-10条
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专题:北京航空航天大学
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Normal Distribution Sampling Convolutional Neural Network for Fine-Grained Image Classification
会议论文
Chinese Intelligent Systems Conference, CISC 2019, Haikou, China, 2019-10-26
作者:
Liu, Feng
;
Dai, Shuling
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/12/30
Taylor Convolutional Networks for Image Classification
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Wang, Xiaodi
;
Li, Ce
;
Mou, Yipeng
;
Zhang, Baochang
;
Han, Jungong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/30
Backpropagation algorithms
Computer vision
Convolution
Network architecture
Convolutional networks
Deep architectures
End to end
High-frequency informations
Low-frequency
Nonlinear combination
Object classification
Taylor expansions
Image classification
A Novel Method of Hyperspectral Data Classification Based on Transfer Learning and Deep Belief Network
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9
作者:
Li, Ke
;
Wang, Mingju
;
Liu, Yixin
;
Yu, Nan
;
Lan, Wei
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
hyperspectral data
deep learning
transfer learning
DBN
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification
期刊论文
Neuroinformatics, 2019
作者:
Li Yang
;
Liu Jingyu
;
Peng Ziwen
;
Sheng Can
;
Kim Minjeong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/30
Computer-aided detection and diagnosis
High-order network
Low-order network
Mild cognitive impairment
Ultra-least squares
Multi-Resolution CNN and Knowledge Transfer for Candidate Classification in Lung Nodule Detection
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 32510-32521
作者:
Zuo, Wangxia
;
Zhou, Fuqiang
;
Li, Zuoxin
;
Wang, Lin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Convolutional neural network
lung nodule candidate classification
multi-resolution model
knowledge transfer
Race Classification from Face using Deep Convolutional Neural Networks
会议论文
ICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
作者:
Wu, X.
;
Yuan, P.
;
Wang, T.
;
Gao, D.
;
Cai, Y.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Convolution
Database systems
Deep neural networks
Face recognition
Learning systems
Machine learning
Neural networks
Robotics
Search engines
Branch structure
Convolutional neural network
Face alignment
Machine learning methods
Merge networks
Multi-scale features
Race classification
State of the art
Classification (of information)
Classification of angiosperms by gray-level co-occurrence matrix and combination of feedforward neural network with particle swarm optimization
会议论文
International Conference on Digital Signal Processing, DSP, 2018-11-19
作者:
Tao, Y.
;
Shi, M.-L.
;
Lam, C.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Digital signal processing
Feedforward neural networks
Genetic algorithms
Simulated annealing
Textures
Average sensitivities
Co-occurrence-matrix
Cross-validation technique
Gray level co occurrence matrix(GLCM)
Gray level co-occurrence matrix
Texture features
Particle swarm optimization (PSO)
A Single Attention-Based Combination of CNN and RNN for Relation Classification
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 12467-12475
作者:
Guo, Xiaoyu
;
Zhang, Hui
;
Yang, Haijun
;
Xu, Lianyuan
;
Ye, Zhiwen
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Relation classification
neural network
attention mechanism
A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 页码: 423-429
作者:
Gao Fei
;
Wang Meng
;
Wang Jun
;
Yang Erfu
;
Zhou Huiyu
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/30
Synthetic aperture radar (SAR)
Convolution neural network (CNN)
Classification
Linear separability
Objective function
Region Based Ensemble Learning Network for Fine-Grained Classification
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Li, W.
;
Wang, T.
;
Zhang, M.
;
Wang, C.
;
Shan, G.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Learning systems
Remote sensing
Semantics
Detection modules
Ensemble learning
Fine grained
Region detection
Remote sensing images
Research topics
Scene recognition
Sub classifiers
Classification (of information)
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