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期刊论文 [41]
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A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14
作者:
Hou X(侯旭)
;
Du FJ(杜福嘉)
;
Huang K(黄康)
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/18
Comb filter kernel(CF-kernel)
motor current signal analysis
convolutional neural network(CNN)
fault diagnosis
limited training sample
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:
Li, Kunqian
;
Wu, Li
;
Qi, Qi
;
Liu, Wenjie
;
Gao, Xiang
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  |  
浏览/下载:8/0
  |  
提交时间:2023/11/17
Training
Image enhancement
Visualization
Task analysis
Generators
Deep learning
Oceans
Underwater image enhancement
deep learning
convolutional neural network
comparative learning
blind image quality assessment
Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 4543-4555
作者:
Guo, Yurong
;
Du, Ruoyi
;
Li, Xiaoxu
;
Xie, Jiyang
;
Ma, Zhanyu
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  |  
浏览/下载:13/0
  |  
提交时间:2022/07/19
Semantics
Measurement
Feature extraction
Correlation
Training
Strain
Learning systems
Few-shot image classification
metric-learning
calibrated class centers
query-guided mask
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6816-6830
作者:
Qi, Qi
;
Li, Kunqian
;
Zheng, Haiyong
;
Gao, Xiang
;
Hou, Guojia
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  |  
浏览/下载:1/0
  |  
提交时间:2022/11/28
Semantics
Image enhancement
Task analysis
Feature extraction
Training
Degradation
Visualization
Underwater image enhancement
deep learning
semantic guidance
attention mechanism
SUIM-E dataset
Optimal superpixel selection for hyperspectral image classification of limited training samples
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 卷号: 42, 期号: 23, 页码: 9059-9075
作者:
Wang, Wenning
;
Liu, Xuebin
;
Mou, Xuanqin
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  |  
浏览/下载:15/0
  |  
提交时间:2021/11/12
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712
作者:
Cheng, Daning
;
Li, Shigang
;
Zhang, Hanping
;
Xia, Fen
;
Zhang, Yunquan
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  |  
浏览/下载:24/0
  |  
提交时间:2021/12/01
Training
Scalability
Machine learning
Machine learning algorithms
Stochastic processes
Task analysis
Upper bound
Parallel training algorithms
training dataset
scalability
stochastic optimization methods
A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data
期刊论文
GEODERMA, 2021, 卷号: 384, 页码: 10
作者:
Zhang, Lei
;
Yang, Lin
;
Ma, Tianwu
;
Shen, Feixue
;
Cai, Yanyan
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  |  
浏览/下载:28/0
  |  
提交时间:2021/03/15
Digital soil sampling
Machine learning
Semi-supervised learning
Self-training
Predictive mapping
Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 20
作者:
Wang, Wenning
;
Liu, Xuebin
;
Mou, Xuanqin
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  |  
浏览/下载:34/0
  |  
提交时间:2021/04/19
hyperspectral classification
data augmentation
structural features
small sample classification
Classification of pathogens by Raman spectroscopy combined with generative adversarial networks
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 726, 页码: 9
作者:
Yu, Shixiang
;
Li, Hanfei
;
Li, Xin
;
Fu, Yu Vincent
;
Liu, Fanghua
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  |  
浏览/下载:42/0
  |  
提交时间:2021/06/21
Classification
Generative adversarial network
Pathogens
Raman spectroscopy
OIC-MCE: A Practical Land Cover Mapping Approach for Limited Samples Based on Multiple Classifier Ensemble and Iterative Classification
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 6, 页码: 987
作者:
Lei, Guangbin
;
Li, Ainong
;
Bian, Jinhu
;
Yan, He
;
Zhang, Lulu
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  |  
浏览/下载:51/0
  |  
提交时间:2020/06/07
land cover mapping
multiple classifier ensemble (MCE)
iterative classification (IC)
self-adaptive updating of samples
China-Pakistan economic corridor (CPEC)
remote sensing
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