LEADER 01627aam 2200421I 450 001 9910709588103321 005 20150922044127.0 024 8 $aGOVPUB-C13-ccd7e5c53f84feac25ce7537a2739ae6 035 $a(CKB)5470000002479116 035 $a(OCoLC)921893577 035 $a(EXLCZ)995470000002479116 100 $a20150922d2015 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aFace Recognition Vendor Test (FRVT) $eperformance of automated gender classification algorithms /$fMei Ngan; Patrick Grother 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d2015. 215 $a1 online resource (26 pages) $cillustrations (color) 225 1 $aNISTIR ;$v8052 300 $aApril 2015. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page (viewed April 20, 2015). 320 $aIncludes bibliographical references. 517 $aFace Recognition Vendor Test 606 $aHuman face recognition (Computer science) 615 0$aHuman face recognition (Computer science) 700 $aNgan$b Mei$01398288 701 $aGrother$b Patrick J$01385097 701 $aNgan$b Mei$01398288 712 02$aInformation Technology Laboratory (National Institute of Standards and Technology).$bInformation Access Division. 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910709588103321 996 $aFace Recognition Vendor Test (FRVT)$93508755 997 $aUNINA