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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
专题:多模态人工智能系统全国重点实验室
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Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 卷号: 35, 期号: 3, 页码: 3251 - 3264
作者:
Wei, Qinglai
;
Li, Tao
Adobe PDF(8471Kb)
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浏览/下载:12/5
  |  
提交时间:2024/05/28
Adaptive dynamic programming
approximate dynamic programming
constrained cost
optimal control
reinforcement learning
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:114/37
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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:128/5
  |  
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:48/0
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
Online Active Continual Learning for Robotic Lifelong Object Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Nie, Xiangli
;
Deng, Zhiguang
;
He, Mingdong
;
Fan, Mingyu
;
Tang, Zheng
收藏
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浏览/下载:99/0
  |  
提交时间:2023/11/16
Task analysis
Robots
Data models
Object recognition
Learning systems
Training
Heuristic algorithms
Catastrophic forgetting
lifelong object recognition
online active learning (OAL)
online continual learning (OCL)
Hierarchical Neighbors Embedding
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Liu, Shenglan
;
Yu, Yang
;
Liu, Kaiyuan
;
Wang, Feilong
;
Wen, Wujun
;
Qiao, Hong
收藏
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浏览/下载:184/0
  |  
提交时间:2023/01/09
Data sparsity
hierarchical neighbors
manifold learning
topological and geometrical properties. the introduced to
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Lian, Zheng
;
Liu, Bin
;
Tao, Jianhua
Adobe PDF(2013Kb)
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浏览/下载:365/4
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提交时间:2022/09/19
Emotion recognition
Iterative methods
Context modeling
Psychology
Oral communication
Logic gates
Learning systems
Contextual information
emotion recognition in conversation (ERC)
iterative method
Personality-enhanced Iterative Refinement Network (PIRNet)
personality influence
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2838Kb)
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收藏
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浏览/下载:214/1
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
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:255/53
  |  
提交时间:2022/03/17
3-D object detection
generalized Intersection of Union (GIoU) loss
segmentation
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
收藏
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浏览/下载:195/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)