DocumentCode :
2293156
Title :
Weighted graph characteristics from oriented line graph polynomials
Author :
Ren, Peng ; Wilson, Richard C. ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., Univ. of York, York, UK
fYear :
2009
fDate :
Sept. 29 2009-Oct. 2 2009
Firstpage :
2280
Lastpage :
2287
Abstract :
We develop a novel method for extracting graph characteristics from edge-weighted graphs, based on an extension of the Ihara zeta function from unweighted to edge-weighted graphs. This is effected by generalizing the determinant form of the Ihara zeta function. We use the set of the reciprocal polynomial coefficients of the resulting Ihara zeta function, i.e. the Ihara coefficients, to construct our characterization. We also present a spectral analysis of the edge-weighted graph Ihara coefficients and indicate their advantages over graph spectral methods. Experimental results reveal that the Ihara coefficients are effective for the purpose of clustering edge-weighted graphs.
Keywords :
graph theory; image processing; pattern clustering; polynomials; Ihara zeta function; edge-weighted graphs; oriented line graph polynomials; reciprocal polynomial coefficients; weighted graph characteristics; Computer science; Computer vision; Graph theory; Laplace equations; Layout; Object recognition; Pattern recognition; Polynomials; Shape; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
ISSN :
1550-5499
Print_ISBN :
978-1-4244-4420-5
Electronic_ISBN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2009.5459449
Filename :
5459449
Link To Document :
بازگشت