LEADER 00915nam0-2200301 --450 001 9910744975703321 005 20231024174750.0 010 $a88-7710-380-9 100 $a20231024d1991----kmuy0itay5050 ba 101 $aita 102 $aIT 105 $a 001yy 200 1 $a<>libro della scala di Maometto$ftraduzione di Roberto Rossi Testa$gnote al testo e postfazione di Carlo Saccone 210 $aMilano$cSE$d1991 215 $a198 p.$d23 cm 225 1 $aConoscenza Religiosa$v7 312 $aTit. della traduzione latina$9IT\ICCU\UBO\1104221 610 0 $aLIBRO DELLA SCALA$aTraduzioni 676 $a297.63$v20 702 1$aSaccone,$bCarlo 702 1$aRossi Testa,$bRoberto 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910744975703321 952 $aDFT G36 ROTR 01$fFLFBC 959 $aFLFBC 996 $aLibro della Scala di Maometto$91261519 997 $aUNINA LEADER 02971nam 22004935 450 001 9910148792703321 005 20200705070303.0 024 7 $a10.1007/978-981-10-2056-8 035 $a(CKB)3710000000918206 035 $a(DE-He213)978-981-10-2056-8 035 $a(MiAaPQ)EBC4729532 035 $a(PPN)196321301 035 $a(EXLCZ)993710000000918206 100 $a20161026d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscriminative Learning in Biometrics /$fby David Zhang, Yong Xu, Wangmeng Zuo 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 266 p. 110 illus., 73 illus. in color.) 311 $a981-10-2055-8 311 $a981-10-2056-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. Discriminative Learning in Biometrics -- 2. Metric Learning with Biometric Applications -- 3. Sparse Representation-based Classification for Biometric Recognition -- 4. Discriminative Features for Palmprint Authentication -- 5. Orientation Features and Distance Measure of Palmprint Authentication -- 6. Multifeature Palmprint Authentication -- 7. Discriminative Learning via Encouraging Virtual Face Images -- 8. Sparse Representation-based Methods for Face Recognition -- 9. Fusion Methodologies of Multiple Traits -- 10. Discussions and Future Work. 330 $aThis monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition. . 606 $aBiometry 606 $aPattern perception 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aBiometry. 615 0$aPattern perception. 615 14$aBiometrics. 615 24$aPattern Recognition. 676 $a570.15195 700 $aZhang$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763056 702 $aXu$b Yong$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZuo$b Wangmeng$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910148792703321 996 $aDiscriminative Learning in Biometrics$92158932 997 $aUNINA LEADER 03031oas 2201057 a 450 001 9910138955003321 005 20260127110854.0 011 $a1461-9563 035 $a(DE-599)ZDB2016391-5 035 $a(OCoLC)45425567 035 $a(CONSER) 00242388 035 $a(CKB)959328105030 035 $a(DE-599)2016391-5 035 $a(EXLCZ)99959328105030 100 $a20001127a19999999 sy 101 0 $aeng 135 $aurun||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgricultural and forest entomology 210 $a[Oxford, England] $cBlackwell Science$d[1999- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 300 $aTitle from table of contents page (viewed November 22, 2000). 311 08$a1461-9555 606 $aInsect pests$xControl$vPeriodicals 606 $aAgricultural pests$xControl$vPeriodicals 606 $aForest insects$xControl$vPeriodicals 606 $aInsectes nuisibles$xLutte contre$vPe?riodiques 606 $aEnnemis des cultures$xLutte contre$vPe?riodiques 606 $aInsectes forestiers$xLutte contre$vPe?riodiques 606 $aAgricultural pests$xControl$2fast$3(OCoLC)fst00801154 606 $aForest insects$xControl$2fast$3(OCoLC)fst00932197 606 $aInsect pests$xControl$2fast$3(OCoLC)fst00973994 606 $aInsekter$vTidsskrifter$2tekord 606 $aEntomologia$2thub 606 $aControl de plagues$2thub 606 $aPlagues d'insectes$2thub 606 $aPlagues agrícoles$2thub 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 608 $aRevistes electròniques.$2thub 615 0$aInsect pests$xControl 615 0$aAgricultural pests$xControl 615 0$aForest insects$xControl 615 6$aInsectes nuisibles$xLutte contre 615 6$aEnnemis des cultures$xLutte contre 615 6$aInsectes forestiers$xLutte contre 615 7$aAgricultural pests$xControl. 615 7$aForest insects$xControl. 615 7$aInsect pests$xControl. 615 7$aInsekter 615 7$aEntomologia. 615 7$aControl de plagues. 615 7$aPlagues d'insectes. 615 7$aPlagues agrícoles. 712 02$aRoyal Entomological Society of London, 801 0$bMYG 801 1$bMYG 801 2$bWAU 801 2$bOCLCQ 801 2$bOCLCF 801 2$bSCB 801 2$bOCLCO 801 2$bOCLCQ 801 2$bSE4M6 801 2$bOCLCQ 801 2$bWT2 801 2$bOCLCQ 801 2$bAU@ 801 2$bOCLCQ 801 2$bU3W 801 2$bNJT 801 2$bAUD 801 2$bCAI 801 2$bOCLCQ 801 2$bSRU 801 2$bOCLCQ 801 2$bBWN 801 2$bOCLCO 801 2$bOCLCQ 801 2$bUBY 801 2$bUAB 801 2$bSFB 801 2$bOCLCL 801 2$bOCLCQ 906 $aJOURNAL 912 $a9910138955003321 996 $aAgricultural and forest entomology$91921929 997 $aUNINA