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Cosine Multilinear Principal Component Analysis for Recognition 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2023, 卷号: 9, 期号: 6, 页码: 1620-1630
作者:  Han, Feng;  Leng, Chengcai;  Li, Bing;  Basu, Anup;  Jiao, Licheng
收藏  |  浏览/下载：17/0  |  提交时间：2024/02/22
Tensors  Principal component analysis  Mathematical models  Linear programming  Iterative methods  Robustness  Matrix decomposition  Multilinear principal component analysis  angle  tensor analysis  pattern recognition  
ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩ 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 卷号: 152, 页码: 27
作者:  Liu, Xuan;  Zhou, Min;  Dong, Hairong;  Wu, Xingtang;  Li, Yidong;  Wang, Fei-Yue
收藏  |  浏览/下载：54/0  |  提交时间：2023/11/17
Timetable rescheduling  Platforming  Uncertain perturbation  Model predictive control  Alternative direction method of multipliers  
BViT: Broad Attention-Based Vision Transformer 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1 - 12
作者:  Nannan Li;  Yaran Chen;  Weifan Li;  Zixiang Ding;  Dongbin Zhao;  Shuai Nie
Adobe PDF(2171Kb)  |  收藏  |  浏览/下载：176/48  |  提交时间：2023/06/27
Broad attention  broad connection  image classification  parameter-free attention  vision transformer  
基于视听融合的目标定位与趋近导航 学位论文
, 2023
作者:  王智清
Adobe PDF(49485Kb)  |  收藏  |  浏览/下载：118/10  |  提交时间：2023/06/02
听觉特征，声源定位，趋近控制，机器人运动，多目标定位，视听融合  
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：157/43  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：267/70  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 5, 期号: 1, 页码: 5 - 15
作者:  Zhentao Tang;  Yuanheng Zhu;  Dongbin Zhao;  Simon M. Lucas
Adobe PDF(7686Kb)  |  收藏  |  浏览/下载：220/61  |  提交时间：2021/07/05
Rolling horizon evolution  opponent model  reinforcement learning  supervised learning  fighting game  
Residual Reinforcement Learning for Motion Control of a Bionic Exploration Robot - RoboDact 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2023, 页码: 1-13
作者:  Zhang Tiandong;  Wang Rui;  Wang Shuo;  Wang Yu;  Zheng Gang;  Tan Min
Adobe PDF(3127Kb)  |  收藏  |  浏览/下载：111/43  |  提交时间：2023/06/14
Towards Automatic Model Compression via A Unified Two-Stage Framework 期刊论文
Pattern Recognition (PR), 2023, 卷号: 140, 页码: 109527
作者:  Weihan Chen;  Peisong Wang;  Jian Cheng
Adobe PDF(765Kb)  |  收藏  |  浏览/下载：91/26  |  提交时间：2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 115367-115379
作者:  Wu, Jiapei;  Zhou, Yuke;  Wang, Han;  Wang, Xiaoying;  Wang, Jiaojiao
收藏  |  浏览/下载：77/0  |  提交时间：2023/12/21
Vegetation mapping  Climate change  Atmospheric measurements  Dynamic programming  Temperature sensors  Meteorological factors  Forestry  Terrestrial atmosphere  Remote sensing  Nonlinear systems  Vegetation dynamic  climate change  causal links  convergent cross mapping  empirical dynamic model