Research of pattern recognition based on the local structure topological relationship modeling

Yinxue Qin; Lin Ma; Haifeng Li; Qiuhua Wei

doi:10.1109/ICALIP.2012.6376704

Research of pattern recognition based on the local structure topological relationship modeling

Yinxue Qin
, Lin Ma
, Haifeng Li^*
, Qiuhua Wei

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The article is mainly to study a pattern recognition method which is based on the local structure feature and spatial topological relationship modeling. From the perspective of human cognition and bio-mimetic pattern recognition principle, analyzing things' local structural feature and the overall topological relationship we can achieve things "cognitive" by using ANN(Artificial Neural Network) and HMM(Hidden Markov Model), so in this paper we propose a common pattern recognition method. This method with a strong anti-interference and resistance to deformation reflects the characteristics of things which is similar to human cognition. The experimental results show that this method can apply to the general pattern recognition.

Original language	English
Title of host publication	ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings
Pages	694-697
Number of pages	4
DOIs	https://doi.org/10.1109/ICALIP.2012.6376704
State	Published - 2012
Externally published	Yes
Event	2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012 - Shanghai, China Duration: 16 Jul 2012 → 18 Jul 2012

Publication series

Name	ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings

Conference

Conference	2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012
Country/Territory	China
City	Shanghai
Period	16/07/12 → 18/07/12

Access to Document

10.1109/ICALIP.2012.6376704

Cite this

Qin, Y., Ma, L., Li, H., & Wei, Q. (2012). Research of pattern recognition based on the local structure topological relationship modeling. In ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings (pp. 694-697). Article 6376704 (ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings). https://doi.org/10.1109/ICALIP.2012.6376704

@inproceedings{2f9fde165f0b48b081f37934b1d46ccf,

title = "Research of pattern recognition based on the local structure topological relationship modeling",

abstract = "The article is mainly to study a pattern recognition method which is based on the local structure feature and spatial topological relationship modeling. From the perspective of human cognition and bio-mimetic pattern recognition principle, analyzing things' local structural feature and the overall topological relationship we can achieve things {"}cognitive{"} by using ANN(Artificial Neural Network) and HMM(Hidden Markov Model), so in this paper we propose a common pattern recognition method. This method with a strong anti-interference and resistance to deformation reflects the characteristics of things which is similar to human cognition. The experimental results show that this method can apply to the general pattern recognition.",

author = "Yinxue Qin and Lin Ma and Haifeng Li and Qiuhua Wei",

year = "2012",

doi = "10.1109/ICALIP.2012.6376704",

language = "英语",

isbn = "9781467301718",

series = "ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings",

pages = "694--697",

booktitle = "ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings",

note = "2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012 ; Conference date: 16-07-2012 Through 18-07-2012",

}

Qin, Y, Ma, L , Li, H & Wei, Q 2012, Research of pattern recognition based on the local structure topological relationship modeling. in ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings., 6376704, ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings, pp. 694-697, 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, Shanghai, China, 16/07/12. https://doi.org/10.1109/ICALIP.2012.6376704

Research of pattern recognition based on the local structure topological relationship modeling. / Qin, Yinxue; Ma, Lin ; Li, Haifeng et al.
ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings. 2012. p. 694-697 6376704 (ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research of pattern recognition based on the local structure topological relationship modeling

AU - Qin, Yinxue

AU - Ma, Lin

AU - Li, Haifeng

AU - Wei, Qiuhua

PY - 2012

Y1 - 2012

N2 - The article is mainly to study a pattern recognition method which is based on the local structure feature and spatial topological relationship modeling. From the perspective of human cognition and bio-mimetic pattern recognition principle, analyzing things' local structural feature and the overall topological relationship we can achieve things "cognitive" by using ANN(Artificial Neural Network) and HMM(Hidden Markov Model), so in this paper we propose a common pattern recognition method. This method with a strong anti-interference and resistance to deformation reflects the characteristics of things which is similar to human cognition. The experimental results show that this method can apply to the general pattern recognition.

AB - The article is mainly to study a pattern recognition method which is based on the local structure feature and spatial topological relationship modeling. From the perspective of human cognition and bio-mimetic pattern recognition principle, analyzing things' local structural feature and the overall topological relationship we can achieve things "cognitive" by using ANN(Artificial Neural Network) and HMM(Hidden Markov Model), so in this paper we propose a common pattern recognition method. This method with a strong anti-interference and resistance to deformation reflects the characteristics of things which is similar to human cognition. The experimental results show that this method can apply to the general pattern recognition.

UR - https://www.scopus.com/pages/publications/84872131129

U2 - 10.1109/ICALIP.2012.6376704

DO - 10.1109/ICALIP.2012.6376704

M3 - 会议稿件

AN - SCOPUS:84872131129

SN - 9781467301718

T3 - ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings

SP - 694

EP - 697

BT - ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings

T2 - 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012

Y2 - 16 July 2012 through 18 July 2012

ER -

Qin Y, Ma L , Li H, Wei Q. Research of pattern recognition based on the local structure topological relationship modeling. In ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings. 2012. p. 694-697. 6376704. (ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings). doi: 10.1109/ICALIP.2012.6376704

Research of pattern recognition based on the local structure topological relationship modeling

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this