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