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Minute-cadence obser v ations of the LAMOST Fields with the TMTS–V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
Monthly Notices of the Royal Astronomical Society, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/03/29
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
Minute-cadence observations of the LAMOST Fields with the TMTS - V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/06
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:
Bin Yang
;
Yaguo Lei
;
Xiang Li
;
Naipeng Li
;
Asoke K. Nandi
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/18
Deep transfer learning
domain adaptation
incorrect label annotation
intelligent fault diagnosis
rotating machines
Improving metric-based few-shot learning with dynamically scaled softmax loss
期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:
Zhang, Yu
;
Zuo, Xin
;
Zheng, Xuxu
;
Gao, Xiaoyong
;
Wang, Bo
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  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Few-shot learning
Metric-based learning framework
Softmax loss improvement
Lateral interaction by Laplacian-based graph smoothing for deep neural networks
期刊论文
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2023, 页码: 18
作者:
Chen, Jianhui
;
Wang, Zuoren
;
Liu, Cheng-Lin
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/16
artificial neural networks
biologically plausible
Laplacian-based graph smoothing
lateral interaction
machine learning
OpenMix: Exploring Outlier Samples for Misclassification Detection
会议论文
Vancouver canada, Jun 18-22, 2023
作者:
Zhu Fei (朱飞)
;
Zhen Cheng
;
Xu-Yao Zhang
;
Cheng-Lin Liu
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  |  
浏览/下载:10/0
  |  
提交时间:2023/09/12
Adaptive Locomotion Transition Recognition With Wearable Sensors for Lower Limb Robotic Prosthesis
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 11
作者:
Zheng, Enhao
;
Wan, Jiacheng
;
Gao, Siyuan
;
Wang, Qining
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  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Adaptive recognition model
interday and interuser
locomotion mode recognition
lower limb robotic prostheses
template generation
Unsupervised domain adaptation for remote sensing image segmentation based on adversarial learning and self-training
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2023, 页码: 1
作者:
Liang Chenbin
;
Cheng Bo
;
Xiao Baihua
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  |  
浏览/下载:9/0
  |  
提交时间:2023/05/30
TBERT: Dynamic BERT Inference with Top-k Based Predictors
会议论文
Antwerp, Belgium, 2023-4-17
作者:
Liu, Zejian
;
Zhao, Kun
;
Cheng, Jian
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/06/19
Transformer
Dynamic Inference
Pruning
CNN-Based Broad Learning for Cross-Domain Emotion Classification
期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369
作者:
Zeng, Rong
;
Liu, Hongzhan
;
Peng, Sancheng
;
Cao, Lihong
;
Yang, Aimin
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  |  
浏览/下载:23/0
  |  
提交时间:2022/11/14
Measurement
Deep learning
Adaptation models
Feature extraction
Convolutional neural networks
Data mining
Task analysis
cross-domain emotion classification
CNN
broad learning
classifier
co-training
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