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Autonomy Evaluation of Unmanned Systems Based on Task Models 期刊论文
Machine Intelligence Research, 2024, 页码: 1-16
作者:  Yi Zou;  Zehao Ni;  Xun Lei;  Chi Zhang
Adobe PDF(1801Kb)  |  收藏  |  浏览/下载：24/6  |  提交时间：2024/06/27
Dynamic Movement Primitives Based Robot Skills Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:  Ling-Huan Kong;  Wei He;  Wen-Shi Chen;  Hui Zhang;  Yao-Nan Wang
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：47/13  |  提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control  
A Study of Using Synthetic Data for Effective Association Knowledge Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 194-206
作者:  Yuchi Liu;  Zhongdao Wang;  Xiangxin Zhou;  Liang Zheng
Adobe PDF(2006Kb)  |  收藏  |  浏览/下载：47/18  |  提交时间：2024/04/23
Multi-object tracking (MOT)  data association  synthetic data  motion simulation  association knowledge learning  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
作者:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：51/14  |  提交时间：2024/04/23
Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
作者:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：54/19  |  提交时间：2024/04/23
Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
Paradigm Shift in Natural Language Processing 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 169-183
作者:  Tian-Xiang Sun;  Xiang-Yang Liu;  Xi-Peng Qiu;  Xuan-Jing Huang
Adobe PDF(1449Kb)  |  收藏  |  浏览/下载：43/11  |  提交时间：2024/04/23
Face detection  global context  attention mechanism  computer vision  deep learning