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浏览/检索结果:
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Qi, Xingqun
;
Sun, Muyi
;
Wang, Zijian
;
Liu, Jiaming
;
Li, Qi
;
Zhao, Fang
;
Zhang, Shanghang
;
Shan, Caifeng
Adobe PDF(6718Kb)
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浏览/下载:160/46
  |  
提交时间:2024/02/22
Face photo-sketch synthesis
generative adversarial network
graph representation learning
intraclass and interclass
iterative cycle training (ICT)
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Wang, Changwei
;
Xu, Rongtao
;
Xu, Shibiao
;
Meng, Weiliang
;
Xiao, Jun
;
Zhang, Xiaopeng
Adobe PDF(4178Kb)
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浏览/下载:173/18
  |  
提交时间:2023/12/21
Detailed representation transfer
lung nodules segmentation
medical images segmentation
soft mask
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2469Kb)
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浏览/下载:66/5
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 600-614
作者:
Du, Changde
;
Du, Changying
;
Huang, Lijie
;
Wang, Haibao
;
He, Huiguang
Adobe PDF(8742Kb)
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浏览/下载:462/172
  |  
提交时间:2022/03/17
Decoding
Image reconstruction
Functional magnetic resonance imaging
Visualization
Task analysis
Brain
Correlation
Deep neural network (DNN)
functional magnetic resonance imaging (fMRI)
image reconstruction
multioutput regression
neural decoding
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:
Chen, Yaran
;
Li, Haoran
;
Gao, Ruiyuan
;
Zhao, Dongbin
Adobe PDF(2082Kb)
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浏览/下载:320/81
  |  
提交时间:2022/03/17
3-D object detection
generalized Intersection of Union (GIoU) loss
segmentation
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
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收藏
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浏览/下载:299/39
  |  
提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Hu, Guangzheng
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Zhao, Mengchen
;
Hao, Jianye
Adobe PDF(4187Kb)
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收藏
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浏览/下载:275/13
  |  
提交时间:2022/01/27
Bandwidth
Protocols
Reinforcement learning
Task analysis
Optimization
Communication networks
Multi-agent systems
Event trigger
limited bandwidth
multi-agent communication
multi-agent reinforcement learning (MARL)
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Wei, Qinglai
;
Han, Liyuan
;
Zhang, Tielin
Adobe PDF(2904Kb)
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收藏
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浏览/下载:249/20
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提交时间:2022/01/27
Maximum likelihood estimation (MLE)
Nonlinear systems
Optimal control
Poisson process
Spike train
Spiking Adaptive dynamic programming(SADP)
Weakly Aligned Feature Fusion for Multimodal Object Detection
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Zhang, Lu
;
Liu, Zhiyong
;
Zhu, Xiangyu
;
Song, Zhan
;
Yang, Xu
;
Lei, Zhen
;
Qiao, Hong
Adobe PDF(19222Kb)
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收藏
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浏览/下载:269/14
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提交时间:2022/01/27
Object detection
Feature extraction
Detectors
Robustness
Cameras
Automation
Training
Deep learning
feature fusion
multimodal object detection
pedestrian detection
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Peng, Xinyu
;
Zhang, Jiawei
;
Wang, Fei-Yue
;
Li, Li
收藏
  |  
浏览/下载:234/0
  |  
提交时间:2022/01/27
Training
Signal to noise ratio
Mutual information
Optimization
Convergence
Deep learning
Tools
Information bottleneck (IB) theory
machine learning
minibatch stochastic gradient descent (SGD)
typicality sampling