Incremental learning in autonomous systems: Evolving cnnectionist systems for on-line image and speech recognition

被引：0
|
作者：
Kasabov, N [1 ]
Zhang, D [1 ]
Pang, PS [1 ]
机构：
[1] Auckland Univ Technol, Knowledge Engn & Discovery Res Inst, Auckland, New Zealand
来源：
2005 IEEE WORKSHOP ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS | 2005年
关键词：
autonomous systems; incremental learning; adaptive systems; multimodal systems; image recognition; speech recognition; evolving connectionist systems (ECOS); evolving growing cluster classifier (EGCC); online adaptation;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents an integrated approach to incremental learning in autonomous systems, that includes both pattern recognition and feature selection. The approach utilizes evolving connectionist systems (ECoS) and is applied on on-line image and speech pattern learning and recognition tasks.. The experiments show that ECoS are a suitable paradigm for building autonomous systems for learning and navigation in a new environment using both image and speech modalities.
引用
收藏
页码：120 / 125
页数：6
相关论文
共 50 条
  • [31] On-Line High-Resolution Sonar Image Recognition Technique for Autonomous Underwater Vehicles
    Yu, Son-Cheol
    Marani, Giacomo
    Yuh, Junku
    PROCEEDINGS OF THE EIGHTEENTH (2008) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 2, 2008, : 334 - +
  • [32] QuickStroke: An incremental on-line Chinese handwriting recognition system
    Matic, NP
    Platt, JC
    Wang, T
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL III, PROCEEDINGS, 2002, : 435 - 439
  • [33] Incremental Semantic Mapping with Unsupervised On-line Learning
    Sousa, Ygor C. N.
    Bassani, Hansenclever F.
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [34] Autonomous on-line system for fracture identification at incremental sheet forming
    Petek, A.
    Kuzman, K.
    Suhac, B.
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2009, 58 (01) : 283 - 286
  • [35] An evolving machine learning method for human activity recognition systems
    Javier Andreu
    Plamen Angelov
    Journal of Ambient Intelligence and Humanized Computing, 2013, 4 : 195 - 206
  • [36] An evolving machine learning method for human activity recognition systems
    Andreu, Javier
    Angelov, Plamen
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2013, 4 (02) : 195 - 206
  • [37] Restricted On-line Learning in Real-world Systems
    Tomforde, Sven
    Brameshuber, Andreas
    Haehner, Joerg
    Mueller-Schloer, Christian
    2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 1628 - 1635
  • [38] An on-line adaptive neural network for speech recognition
    Zhang L.-P.
    Li L.M.
    Chi Z.
    International Journal of Speech Technology, 1998, 2 (3) : 241 - 248
  • [39] SPEECH RECOGNITION SYSTEMS
    CHESTER, M
    ELECTRONIC PRODUCTS MAGAZINE, 1988, 30 (24): : 16 - &
  • [40] A robust on-line learning algorithm for intelligent control systems
    Efe, MÖ
    Kaynak, O
    Wilamowski, BM
    Yu, XH
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2003, 17 (06) : 489 - 500
12345