&lt;title&gt;Optimal sign selection for discriminant analysis of textures&lt;/title&gt;

Kurashov, Vitalij N.; Коваленко, А. В.; Chumakov, A.G.; Kisil, Alexandr V.

doi:10.1117/12.217425

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Approximate 2d Kl Algorithm2

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1998

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“…Among other, it permits to construct an approximate KL algorithm, as it was suggested in Ref. 3 The procedure of such basis construction has its origin in the wavelet packet theory. For this purpose each detail space W can be recursively decomposed in a sequence of detail spaces by the operators I and H .…”

Section: Fast Wavelet Algorithm For Approximate Kl Transformmentioning

confidence: 98%

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<title>Pattern recognition with fast feature extraction</title>

1998

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The comparison ofrecently suggested algorithms of fast approximate Karhunen-Loeve(KL) transform when applied to pattern recognition problem is presented. It is known that adequate signs selection is stiff the problem. In the paper we consider several algorithms that can perform fast and quafltative signs selection. Among them are wavelet based algorithm of approximate XL transform, 2D algorithm ofKL transform. algorithm with projection into proper orthogoxialized basis, and real tinie algorithm ofKL transform. To compare quality ofthe algorithms they are apphed to human facts tecognition prob1m. Th evem'y of the all abovementioned algorithms is demonstrated.

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Section: Fast Wavelet Algorithm For Approximate Kl Transformmentioning

confidence: 98%

“…Approximate correlation matrix G is defined by the equation: (n1,m1;n2,m2)= r('1I,h12)c('uh1,m2) (15) where matrices t:7; are correlation matrices of row and column ensembles respectively:…”

Section: Approximate 2d Kl Algorithmmentioning

confidence: 99%