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清华大学 [13]
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期刊论文 [43]
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Boosting On-Policy Actor-Critic With Shallow Updates in Critic
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 10
作者:
Li, Luntong
;
Zhu, Yuanheng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/07/03
Artificial neural networks
Vectors
Task analysis
Training
Representation learning
Approximation algorithms
Optimization
Actor-critic
deep reinforcement learning (DRL)
proximal policy optimization (PPO)
shallow reinforcement learning (SRL)
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:
Zeng, Xingjie
;
Zhou, Tao
;
Bao, Zhicheng
;
Zhao, Hongwei
;
Chen, Leiming
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/02/22
Federated learning
Data models
Artificial intelligence
Graph neural networks
Training
Learning systems
Servers
graph neural networks
responsible artificial intelligence (AI)
weight divergence
weight similarity evaluation
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems
期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/07/25
Computational modeling
Training
Microwave integrated circuits
Deep learning
Data models
Artificial neural networks
Training data
Fuzzy c-means (FCM) clustering
maximal information coefficient (MIC)
random input (RI)
deep patch learning classifier
interpretability
Visuals to Text: A Comprehensive Review on Automatic Image Captioning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1339-1365
作者:
Yue Ming
;
Nannan Hu
;
Chunxiao Fan
;
Fan Feng
;
Jiangwan Zhou
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/08/01
Artificial intelligence
attention mechanism
encoder-decoder framework
image captioning
multi-modal understanding
training strategies
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:
Meng, Lingwei
;
Dong, Di
;
Li, Liang
;
Niu, Meng
;
Bai, Yan
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/03/02
COVID-19
Computed tomography
Lung
Hospitals
Biomedical imaging
Training
Coronavirus disease 2019 (COVID-19)
prognosis
computed tomography
deep learning
artificial intelligence
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:
Yuan, Yong
;
Chen, Chen
;
Hu, Xiyuan
;
Peng, Silong
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  |  
浏览/下载:125/0
  |  
提交时间:2021/03/08
entropy
image classification
learning (artificial intelligence)
neural nets
object detection
optimisation
quantisation (signal)
network structure
DNN
low-bit quantization
time-consuming training
compressor-based fast nonuniform quantization method
quantization model
post-training quantization methods
deep neural networks
network quantization
compressor-based nonuniform quantization
CNQ
Non-uniform quantization
Knowledge distillation
Unlabeled samples
Network compression
Adversarial image generation by combining content and style
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 14, 页码: 2716-2723
作者:
Liu, Songyan
;
Zhao, Chaoyang
;
Gao, Yunze
;
Wang, Jinqiao
;
Tang, Ming
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/03/30
image recognition
feature extraction
learning (artificial intelligence)
image texture
adversarial image generation
unique style
reference images
style feature extraction module
style specific image generation model
double-cycle training strategy
natural-content pairs
input natural images
style exchange
style-exchanged images
licence-plate image
handbags images
Reliability verification-based convolutional neural networks for object tracking
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 页码: 175-185
作者:
Hu, Xiaopeng
;
Li, Jingting
;
Yang, Yan
;
Wang, Fan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
object tracking
learning (artificial intelligence)
feedforward neural nets
reliability
feature selection
tracking network
reliability verification-based convolutional neural networks
object tracking
tracking algorithm
reliability analysis
deep network
single network
improperly labelled training samples
feature selection
label enhancement
convolutional layers
Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the training sets
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 10, 页码: 1725-1735
作者:
Wang, Zhenzhou
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
biomedical MRI
learning (artificial intelligence)
image segmentation
medical image processing
cardiology
deep learning-based methods
significant break-throughs
complete training sets
training
sets-independent method
segment LV optimally
available
state-of-the-art training-sets-independent image segmentation methods
segmentation method
poor quality images
optimal solution
state-of-the-art training-sets-independent segmentation methods
optimal
segmentation
left ventricle
cardiac magnetic resonance images
cardiac
imaging
Deep learning-based vehicle detection with synthetic image data
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 页码: 1097-1105
作者:
Wang, Ye
;
Deng, Weiwen
;
Liu, Zhenyi
;
Wang, Jinsong
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2019/12/30
learning (artificial intelligence)
image classification
traffic engineering computing
object detection
computer games
neural nets
deep learning-based vehicle detection
synthetic image data
convolutional neural network-based object detectors
annotated training data
synthetic images
synthetic image annotation
imaging factors
training vehicle detector
authors
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