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The two-volume set LNCS 4221 and LNCS 4222 constitutes the refereed court cases of the second one foreign convention on ordinary Computation, ICNC 2006, held in Xi'an, China, in September 2006 as a joint occasion in federation with the 3rd overseas convention on Fuzzy structures and information Discovery FSKD 2006 (LNAI 4223).
After a not easy evaluate strategy 168 conscientiously revised complete papers and 86 revised brief papers have been chosen from 1915 submissions for presentation in volumes. this primary quantity contains one hundred thirty papers relating to synthetic neural networks, common neural platforms and cognitive technology, neural community functions, in addition to evolutionary computation: conception and algorithms. The 124 papers within the moment quantity are prepared in topical sections on different themes in ordinary computation, typical computation strategies functions, undefined, and cross-disciplinary topics.
Read or Download Advances in Natural Computation: Second International Conference, ICNC 2006, Xi’an, China, September 24-28, 2006. Proceedings, Part I PDF
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Extra resources for Advances in Natural Computation: Second International Conference, ICNC 2006, Xi’an, China, September 24-28, 2006. Proceedings, Part I
Guang Lu, YongChao Wang, MiaoLiang Zhu 254 Small-World Optimization Algorithm for Function Optimization . . . . Haifeng Du, Xiaodong Wu, Jian Zhuang A Two-Dimension Chaotic Sequence Generating Method and Its Application for Image Segmentation . . . . . . . . . . . . . . . . Xue-Feng Zhang, Jiu-Lun Fan 264 274 A Study on Construction of Time-Varying Orthogonal Wavelets . . . . Guangming Shi, Yafang Sun, Danhua Liu, Jin Pan 284 An Assignment Model on Traﬃc Matrix Estimation .
1 19 Combination of Gabor Feature and LDA/QZ for Face Recognition Gabor Filter-Based Features For almost three decades the use of features based on Gabor Filters has been promoted for their useful properties, which are mainly related the invariance to illumination, rotation, scale, and translation . Gabor ﬁlters have succeeded in many application, from texture analysis to iris and face recognition. In this paper, the Gabor wavelet representation of an face image is the convolution of the image with a family of Gabor kernels (ﬁlters) deﬁned as: ψ(z) = kµ,ν σ2 2 e(− kµ,ν 2 z 2 /2σ2 ) [eikµ,ν z − e−σ 2 /2 ], (8) where µ and ν deﬁne the orientation and scale of the Gabor kernels, z = (x, y), · denotes the norm operator, and the wave vector kµ,ν is deﬁned as kµ,ν = kν eiφu where kν = kmax /f ν and φu = πµ/8.
1. The results are listed in Table 3, and one can see that the accuracies improve by considerable margin for all the dimension reduction 22 W. Deng, J. Hu, and J. 2 0 20 40 60 number of PCs 20 80 0 0 100 200 300 number of PCs 40 60 number of PCs 80 100 AR−3 1 0 0 FERET−3 ORL−3 average accuracy AR−2 1 400 0 Fisherfaces EFM LDA/QZ 0 50 100 150 number of PCs 200 Fig. 2. Comparative Performance of the Fisherfaces, EFM, and LDA/QZ in the Six Experiments Based on Image Pixel Feature. The mean of accuracies (%) from ten runs are shown.