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Global-Guided Selective Context Network for Scene Parsing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1752-1764
作者:  Jiang, Jie;  Liu, Jing;  Fu, Jun;  Zhu, Xinxin;  Li, Zechao;  Lu, Hanqing
收藏  |  浏览/下载：240/0  |  提交时间：2022/06/10
Semantics  Task analysis  Decoding  Logic gates  Image color analysis  Fuses  Feature extraction  Attention mechanism (AM)  contextual selection  global guidance (GG)  scene parsing  
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:  Wei, Qinglai;  Wang, Lingxiao;  Liu, Yu;  Polycarpou, Marios M.
Adobe PDF(4019Kb)  |  收藏  |  浏览/下载：318/75  |  提交时间：2021/03/08
Elevators  Optimal control  Backpropagation  Machine learning  Neural networks  Learning (artificial intelligence)  Actor  –critic  adaptive dynamic programming  deep learning (DL)  elevator group control (EGC)  optimal control  reinforcement learning (RL)  
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:  Li, Haoran;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(4274Kb)  |  收藏  |  浏览/下载：353/111  |  提交时间：2020/08/03
Robot sensing systems  Navigation  Entropy  Neural networks  Task analysis  Planning  Automatic exploration  deep reinforcement learning (DRL)  optimal decision  partial observation  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：265/62  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
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：194/0  |  提交时间：2020/06/02
Big data  distributed learning algorithms  distributed simulations  generalization  
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2410-2418
作者:  Chen, Guang-Yong;  Gan, Min;  Ding, Feng;  Chen, C. L. Philip
收藏  |  浏览/下载：233/0  |  提交时间：2019/12/16
Data fitting  modified Gram-Schmidt (MGS)  parameter estimation  separable nonlinear least-squares problem  variable projection (VP)  
Universal Approximation Capability of Broad Learning System and Its Structural Variations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1191-1204
作者:  Chen, C. L. Philip;  Liu, Zhulin;  Feng, Shuang
收藏  |  浏览/下载：247/0  |  提交时间：2019/12/16
Broad learning system (BLS)  deep learning  face recognition  functional link neural networks (FLNNs)  non-linear function approximation  time-variant big data modeling  universal approximation  
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4730-4743
作者:  Cheng, Jian;  Wu, Jiaxiang;  Leng, Cong;  Wang, Yuhang;  Hu, Qinghao
收藏  |  浏览/下载：280/0  |  提交时间：2019/12/16
Acceleration And Compression  Convolutional Neural Network (Cnn)  Mobile Devices  Product Quantization  
Learning With Coefficient-Based Regularized Regression on Markov Resampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4166-4176
作者:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
收藏  |  浏览/下载：173/0  |  提交时间：2018/10/10
Coefficient-based Regularized Regression (Cbrr)  Learning Rate  Markov Resampling  Uniformly Ergodic Markov Chain (U.e.m.c.)  
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)
浏览  |  Adobe PDF(2975Kb)  |  收藏  |  浏览/下载：506/183  |  提交时间：2016/10/24
Locality-sensitive Hashing (Lsh)  Semantic Similarity Search  Two-step Hashing