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

页码：120 / 125

页数：6

共 50 条

[31] A Comprehensive Review of Speech Emotion Recognition Systems
Wani, Taiba Majid
Gunawan, Teddy Surya
Qadri, Syed Asif Ahmad
Kartiwi, Mira
Ambikairajah, Eliathamby
IEEE ACCESS, 2021, 9 : 47795 - 47814
[32] FAST SEMANTIC IMAGE SEGMENTATION FOR AUTONOMOUS SYSTEMS
Papaioannidis, Christos
Mademlis, Ioannis
Pitas, Ioannis
2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 2646 - 2650
[33] Universal Adversarial Perturbations for Speech Recognition Systems
Neekhara, Paarth
Hussain, Shehzeen
Pandey, Prakhar
Dubnov, Shlomo
McAuley, Julian
Koushanfar, Farinaz
INTERSPEECH 2019, 2019, : 481 - 485
[34] Binary Spectral Masking for Speech Recognition Systems
Siqueira Versiani, Thiago de Souza
Rodrigues, Gustavo Fernandes
Silva de Souza, Ana Claudia
Moreira, Jussara de Matos
Yehia, Hani Camille
2012 35TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2012, : 432 - 436
[35] On-line incremental learning for unknown conditions during assembly operations with industrial robots
Navarro-Gonzalez, J. L.
Lopez-Juarez, I.
Ordaz-Hernandez, K.
Rios-Cabrera, R.
EVOLVING SYSTEMS, 2015, 6 (02) : 101 - 114
[36] Phoneme fuzzy characterization in speech recognition systems
Beritelli, F
Borrometi, L
Cuce, A
APPLICATIONS OF SOFT COMPUTING, 1997, 3165 : 305 - 306
[37] Deep learning-based image recognition for autonomous driving
Fujiyoshi, Hironobu
Hirakawa, Tsubasa
Yamashita, Takayoshi
IATSS RESEARCH, 2019, 43 (04) : 244 - 252
[38] On-line Language Model Biasing for Multi-Pass Automatic Speech Recognition
Ananthakrishnan, Sankaranarayanan
Tsakalidis, Stavros
Prasad, Rohit
Natarajan, Prem
12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 628 - 631
[39] Research and Application of Image Recognition of Substation Inspection Robots Based on Edge Computing and Incremental Learning
Liu, Xiao
Dong, Bangzhou
Li, Peiqi
Yuan, Bin
Wang, Kesheng
NONLINEAR OPTICS QUANTUM OPTICS-CONCEPTS IN MODERN OPTICS, 2022, 56 (1-2): : 141 - 154
[40] Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems
Villalba, Jesus
Joshi, Sonal
Zelasko, Piotr
Dehak, Najim
INTERSPEECH 2021, 2021, : 4304 - 4308

← 1 2 3 4 5 →