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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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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:225/45
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提交时间:2022/03/17
3-D object detection
generalized Intersection of Union (GIoU) loss
segmentation
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:
Ding ZX(丁子祥)
;
Yaran, Chen
;
Nannan, Li
;
Dingbin, Zhao
;
Zhiquan, Sun
;
C. L. Philip Chen
Adobe PDF(2713Kb)
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浏览/下载:162/41
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提交时间:2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)
Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1226-1238
作者:
Wei, Qinglai
;
Li, Benkai
;
Song, Ruizhuo
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浏览/下载:379/123
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提交时间:2017/02/23
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Generalized Policy Iteration (Gpi)
Neural Networks
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Reinforcement Learning
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 792-806
作者:
Ding, Shuguang
;
Nie, Xiangli
;
Qiao, Hong
;
Zhang, Bo
Adobe PDF(3029Kb)
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浏览/下载:387/129
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提交时间:2017/12/30
Convex Hull Decomposition
Kernel
Online Classification
Projection
In Defense of Locality-Sensitive Hashing
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 87-103
作者:
Ding, Kun
;
Huo, Chunlei
;
Fan, Bin
;
Xiang, Shiming
;
Pan, Chunhong
;
Fan B(樊斌)
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浏览/下载:506/183
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提交时间:2016/10/24
Locality-sensitive Hashing (Lsh)
Semantic Similarity Search
Two-step Hashing
LMI Conditions for Global Stability of Fractional-Order Neural Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 10, 页码: 2423-2433
作者:
Zhang, Shuo
;
Yu, Yongguang
;
Yu, Junzhi
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Adobe PDF(3938Kb)
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浏览/下载:492/176
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提交时间:2017/01/23
Fractional Order
Generalized Projective Synchronization (Gps)
Linear Matrix Inequality (Lmi)
Neural Networks
Stability
Feature Selection Based on Structured Sparsity: A Comprehensive Study
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 7, 页码: 1490-1507
作者:
Gui, Jie
;
Sun, Zhenan
;
Ji, Shuiwang
;
Tao, Dacheng
;
Tan, Tieniu
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Adobe PDF(3835Kb)
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浏览/下载:549/268
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提交时间:2017/09/12
Dimensionality Reduction
Feature Selection
Sparse
Structured Sparsity
Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 6, 页码: 1323-1334
作者:
Liu, Derong
;
Li, Hongliang
;
Wang, Ding
Adobe PDF(1114Kb)
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浏览/下载:283/84
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提交时间:2015/09/17
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Neural Networks
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 866-879
作者:
Wei, Qinglai
;
Liu, Derong
;
Yang, Xiong
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Adobe PDF(2408Kb)
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浏览/下载:281/111
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提交时间:2015/09/21
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Generalized Policy Iteration
Neural Networks (Nns)
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Reinforcement Learning
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 3, 页码: 621-634
作者:
Liu, Derong
;
Wei, Qinglai
Adobe PDF(2635Kb)
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浏览/下载:200/81
  |  
提交时间:2015/08/12
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Discrete-time Policy Iteration
Neural Networks
Neurodynamic Programming
Nonlinear Systems
Optimal Control
Reinforcement Learning