LEADER 01167nam a2200289 i 4500 001 991001027809707536 005 20020502182612.0 008 941214s1985 it ||| | ita 020 $a8839700560 035 $ab11453370-39ule_inst 035 $aPRUMB53719$9ExL 040 $aDip. SSSC$bita 100 1 $aAltheide, David L.$027655 245 10$aCreare la realtà :$bi telegiornali in America :$bselezione e trattamento delle notizie /$cDavid L. Altheide ; traduzione di Raffaele Barberio ; introduzione di Gianni Statera 260 $aTorino :$bNuova Eri,$cc1985 300 $a187 p. ;$c21 cm. 440 3$aLe comunicazioni di massa ;$v32 650 4$aScienza delle comunicazioni 700 1 $aBarberio, Raffaele 700 1 $aStatera, Gianni 907 $a.b11453370$b02-04-14$c01-07-02 912 $a991001027809707536 945 $aLE021 NAF53$g2$i2021000009150$lle021$o-$pE0.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i11640042$z01-07-02 945 $aLE021 C1E1$g1$i2021000204203$lle021$o-$pE0.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i11640054$z01-07-02 996 $aCreare la realtà$9820473 997 $aUNISALENTO 998 $ale021$b01-01-94$cm$da $e-$fita$git $h0$i2 LEADER 01962nam 2200349 450 001 9910688314603321 005 20230624182356.0 035 $a(CKB)5400000000042520 035 $a(NjHacI)995400000000042520 035 $a(EXLCZ)995400000000042520 100 $a20230624d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplications of Pattern Recognition /$fedited by Carlos M. Travieso-Gonza?lez 210 1$aLondon :$cIntechOpen,$d2021. 215 $a1 online resource (136 pages) $cillustrations 311 $a1-83880-913-9 320 $aIncludes bibliographical references. 330 $aNowadays, technological advances allow the development of many applications in different fields. In this book, 'Applications of Pattern Recognition' , two important fields are shown. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq. 606 $aPattern perception 615 0$aPattern perception. 676 $a001.5 702 $aTravieso-Gonza?lez$b Carlos M. 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688314603321 996 $aApplications of Pattern Recognition$92822943 997 $aUNINA