Semi-supervised feature extraction for EEG classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-012-0298-2.pdf
Reference41 articles.
1. Vaughan TM, Heetderks WJ, Trejo LJ, Rymer WZ, Weinrich M, Moore MM, Kübler A, Dobkin BH, Birbaumer N, Donchin E, Wolpaw EW, Wolpaw JR (2003) Brain-computer interface technology: a review of the second international meeting. IEEE Trans Neural Syst Rehabil Eng 11(2): 94–109
2. Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM (2002) Brain–computer interfaces for communication and control. Clinical Neurophysiol 113(6): 767–791
3. Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1): 4–37
4. Sun S (2010) Extreme energy difference for feature extraction of EEG signals. Expert Syst Appl 37(6): 4350–4357
5. Krauledat M, Tangermann M, Blankertz B, Müller KR (2008) Towards zero training for brain-computer interfacing. PLoS One 3(8): e2967
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Formative semi-supervised learning based on adaptive combined model for brain–computer interface;International Journal of Machine Learning and Cybernetics;2023-07-14
2. Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition;Frontiers in Neuroscience;2022-05-04
3. Reducing calibration time in motor imagery-based BCIs by data alignment and empirical mode decomposition;PLOS ONE;2022-02-08
4. Reducing the Calibration Time in Somatosensory BCI by Using Tactile ERD;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2022
5. Conditional Distribution Adaptation Toward Zero-Training Motor Imagery Brain-Computer Interfaces;Proceedings of the 11th International Conference on Computer Engineering and Networks;2021-11-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3