Zobrazeno 1 - 10
of 389
pro vyhledávání: '"Yuan, Baozong"'
Publikováno v:
In Tsinghua Science & Technology 2011 16(3):233-240
Publikováno v:
In Pattern Recognition 2008 41(2):575-591
Publikováno v:
In Image and Vision Computing 2006 24(10):1115-1122
Autor:
Liu, Rujie, Yuan, Baozong
Publikováno v:
In Information Fusion 2001 2(3):163-168
Autor:
Wang, Yanjiang, Yuan, Baozong *
Publikováno v:
In Pattern Recognition 2001 34(10):1983-1992
Publikováno v:
Yuan, Baozong; Huang, Taiyi; Tang, Xiaofang (ed.), Proceedings ICSLP2000, pp. 429-432
Yuan, Baozong; Huang, Taiyi; Tang, Xiaofang (ed.), Proceedings ICSLP2000, 429-432. Beijing, China : China Military Friendship Publish
STARTPAGE=429;ENDPAGE=432;TITLE=Yuan, Baozong; Huang, Taiyi; Tang, Xiaofang (ed.), Proceedings ICSLP2000
Yuan, Baozong; Huang, Taiyi; Tang, Xiaofang (ed.), Proceedings ICSLP2000, 429-432. Beijing, China : China Military Friendship Publish
STARTPAGE=429;ENDPAGE=432;TITLE=Yuan, Baozong; Huang, Taiyi; Tang, Xiaofang (ed.), Proceedings ICSLP2000
Contains fulltext : 76456.pdf (author's version ) (Open Access) 4 p.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::51b0cb71ac7507cd9e6d698757efc828
https://hdl.handle.net/2066/76456
https://hdl.handle.net/2066/76456
Publikováno v:
Engineering Applications of Artificial Intelligence. 19:79-101
This paper describes a rose analysis and recognition system and presents the main principles used to realize the recognition system. The major principles presented in this paper are the mathematical description methods for rose features such as shape
Autor:
Yuan Baozong, Wen Furong
Publikováno v:
Pattern Recognition Letters. 25:933-941
This article has been retracted at the request of the Editors-in-Chief and authors. Reason: The authors of this article had violated the professional ethical codes by duplicating large portions of text from the following two articles (1) Orthogonal D
Publikováno v:
Journal of Electronics (China). 16:208-214
In this paper according to the process of cognitive of human being to speech is put forward a model of speech recognition and understanding in a noisy environment. For speech recognition, two level modular Extended Associative Memory Neural Networks
Autor:
Yuan Baozong, Miao Zhenjiang
Publikováno v:
Neural Networks. 12:259-271
The asymptotic stability of a continuous neural network is analyzed for associative memory. An optimal design method is proposed which ensures the highest associative memory speed and guarantees the storage of each desired memory with attractivity. T