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100   $a20100618d2011      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aBiometrics $etheory, applications, and issues /$fEllen R. Nichols, editor
205   $a1st ed.
210   $aNew York $cNova Science Publishers$d2011
215   $a1 online resource (191 p.)
225 1 $aNova biomedical
225 1 $aBiotechnology in agriculture, industry and medicine series
300   $aDescription based upon print version of record.
311 08$a1-61728-765-2 
320   $aIncludes bibliographical references and index.
327   $aSample size requirements for evaluating intervention effects in three-level cluster randomized clinical trials / Moonseong Heo, Mimi Y. Kim -- A modified locally linear discriminant embedding for tumor classification / Shanwen Zhang, Deshuang Huang, Bo Li -- Fusion approach for improving the performance in voice biometrics / Di Liu ... [et al.] -- Fusion of lighting insensitive approaches for illumination robust face recognition / Loris Nanni, Sheryl Brahnam, Alessandra Lumini -- A two-part generalized linear mixed modelling approach to analyze physical activity outcomes / Andy H. Lee, Liming Xiang, Fumi Hirayama -- Biometric identification paradigm : towards privacy and confidentiality protection / Julien Bringer ... [et al.].
330   $aDiscusses the problem of finding a face recognition system that works well both under variable illumination conditions and under strictly controlled acquisition conditions. This title explores information fusion techniques that have been widely developed in the community of voice biometrics.
410  0$aBiotechnology in agriculture, industry and medicine series.
410  0$aNova biomedical.
606   $aBiometry
606   $aBiometric identification
615  0$aBiometry.
615  0$aBiometric identification.
676   $a570.1/5195
701   $aNichols$b Ellen R$01868466
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910966937303321
996   $aBiometrics$94476374
997   $aUNINA