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多模态人工智能系统... [10]
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王飞跃 [10]
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
作者:王飞跃
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SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Zhang, Hui
;
Luo, Guiyang
;
Wang, Xiao
;
Li, Yidong
;
Ding, Weiping
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/07/03
Feature extraction
Three-dimensional displays
Detectors
Object detection
Proposals
Point cloud compression
Shape
3D object detection
autonomous driving
point-voxel detectors
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Gao, Jiaqi
;
Huang, Zhizhong
;
Lei, Yiming
;
Shan, Hongming
;
Wang, James Z.
;
Wang, Fei-Yue
;
Zhang, Junping
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2024/02/22
Crowd counting
feature pyramid
ranking
semi-supervised learning
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Tian, Yonglin
;
Shen, Yu
;
Wang, Xiao
;
Wang, Jiangong
;
Wang, Kunfeng
;
Ding, Weiping
;
Wang, Zilei
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:365/0
  |  
提交时间:2023/03/20
Attention inside kernels
dynamic convolution
global context
local context
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Wei, Qinglai
;
Li, Yugu
;
Zhang, Jie
;
Wang, Fei-Yue
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  |  
浏览/下载:249/0
  |  
提交时间:2022/07/25
Mathematical models
Task analysis
Games
Q-learning
Neural networks
Behavioral sciences
Training
Deep learning
graph attention networks (GATs)
multiagent systems
reinforcement learning
Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11
作者:
Peng, Xinyu
;
Wang, Fei-Yue
;
Li, Li
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  |  
浏览/下载:198/0
  |  
提交时间:2022/06/06
Training
Estimation
Deep learning
Standards
Optimization
Noise measurement
Convergence
Deep learning
generalization performance
nontypicality sampling scheme
stochastic gradient descent (SGD)
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
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  |  
浏览/下载:224/0
  |  
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
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Zhu, Haiping
;
Shan, Hongming
;
Zhang, Yuheng
;
Che, Lingfu
;
Xu, Xiaoyang
;
Zhang, Junping
;
Shi, Jianbo
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:238/0
  |  
提交时间:2022/01/27
Decision trees
Estimation
Task analysis
Forestry
Vegetation
Random forests
Support vector machines
Differentiable decision trees
image ordinal estimation
ordinal distribution learning
ordinal regression (OR)
random forest
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:
Peng, Xinyu
;
Li, Li
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:259/0
  |  
提交时间:2021/01/06
Training
Convergence
Approximation algorithms
Stochastic processes
Estimation
Optimization
Acceleration
Batch selection
machine learning
minibatch stochastic gradient descent (SGD)
speed of convergence
Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 801-812
作者:
Wu, Xinxing
;
Zhang, Junping
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:220/0
  |  
提交时间:2020/06/02
Big data
distributed learning algorithms
distributed simulations
generalization
Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 6, 页码: 1217-1226
作者:
Chen, C. L. Philip
;
Wen, Guo-Xing
;
Liu, Yan-Jun
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:201/0
  |  
提交时间:2015/08/12
Consensus Control
Lyapunov-krasovskii Functional
Neural Networks (Nns)
Nonlinear Multiagent Systems
Time Delay