LEADER 00824nam0-22002891i-450- 001 990000467810403321 005 20091009151330.0 035 $a000046781 035 $aFED01000046781 035 $a(Aleph)000046781FED01 035 $a000046781 100 $a20020821d1973----km-y0itay50------ba 101 0 $aeng 105 $aa-------001yy 200 1 $aMeasurements in high-voltage test circuits$fG. W. Bowdler 210 $aOxford ; New York$cPergamon Press$d1973 215 $a179 p.$cill.$d21 cm 610 0 $aMisurazione elettrica 676 $a621.37'4 700 1$aBowdler,$bG. W.$0491456 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000467810403321 952 $a10 D I 76$b7837$fDINEL 959 $aDINEL 996 $aMeasurements in high-voltage test circuits$9331831 997 $aUNINA LEADER 00919cam0-22002891i-450- 001 990008245700403321 005 20160310140544.0 035 $a000824570 035 $aFED01000824570 035 $a(Aleph)000824570FED01 035 $a000824570 100 $a20160310d1803----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aDel commercio de' Romani ed il colbertismo. Memorie due del signor Francesco Mengotti feltriense. Tomo primo [-secondo] 205 $aQuarta edizione accresciuta e corretta dall'autore 210 $aIn Venezia$ca spese di Antonio Graziosi a S. Apollinare$d1803 215 $a2 v.$d8° 620 $aItalia.$dVenezia 676 $a945.082$v12 rid.$zita 700 1$aMengotti,$bFrancesco$f<1749-1830>$05875 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aAQ 912 $a990008245700403321 952 $aXV F 65$b25883$fFGBC 959 $aFGBC 997 $aUNINA LEADER 01320cam0 22003011 450 001 SOBE00068144 005 20211103123859.0 100 $a20211103h1988 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $a<>problema della forma in biologia$fG. C. Webster, B. C. Goodwin$ga cura di Giuseppe Sermonti$gintroduzione di Vincenzo Cappelletti 210 $aRoma$cArmando$dc1988 215 $a136 p.$cill.$d22 cm 225 2 $aMetodologia delle scienze e filosofia del linguaggio 410 1$1001LAEC00021117$12001 $a*Metodologia delle scienze e filosofia del linguaggio 700 1$aWebster$b, Gerry C.$3SOBA00022026$4070$0460246 701 1$aGoodwin, Brian Carey$3SOBA00022027$4070$047276 702 1$aSermonti, Giuseppe$3A600200027142$4070 702 1$aCappelletti, Vincenzo$3A600200029094$4070 801 0$aIT$bUNISOB$c20211103$gRICA 850 $aUNISOB 852 $aUNISOB$jFondo|Frauenfelder$m174025 912 $aSOBE00068144 940 $aM 102 Monografia moderna SBN 941 $aM 957 $aFondo|Frauenfelder$b000288$gSI$d174025$n20200203$hFrauenfelder$rDono$1rovito$2UNISOB$3UNISOB$420211103121324.0$520211103121411.0$6rovito$fPer le modalità di consultazione vedi homepage della Biblioteca link Fondi 996 $aProblema della forma in biologia$91084259 997 $aUNISOB LEADER 03321nam 22006375 450 001 996466055303316 005 20200705013935.0 010 $a3-540-48127-3 024 7 $a10.1007/BFb0019384 035 $a(CKB)1000000000234047 035 $a(SSID)ssj0000321433 035 $a(PQKBManifestationID)11937827 035 $a(PQKBTitleCode)TC0000321433 035 $a(PQKBWorkID)10279513 035 $a(PQKB)11625688 035 $a(DE-He213)978-3-540-48127-0 035 $a(PPN)155215779 035 $a(EXLCZ)991000000000234047 100 $a20121227d1993 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Perception and Music Recognition$b[electronic resource] /$fby Andranick S. Tanguiane 205 $a1st ed. 1993. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1993. 215 $a1 online resource (XV, 210 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v746 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-57394-1 327 $aCorrelativity of perception -- Substantiating the model -- Implementing the model -- Experiments on chord recognition -- Applications to rhythm recognition -- Applications to music theory -- General discussion -- Conclusions. 330 $aThis monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns. 410 0$aLecture Notes in Artificial Intelligence ;$v746 606 $aPattern recognition 606 $aArtificial intelligence 606 $aData structures (Computer science) 606 $aElectrical engineering 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Storage Representation$3https://scigraph.springernature.com/ontologies/product-market-codes/I15025 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aData structures (Computer science). 615 0$aElectrical engineering. 615 14$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aData Storage Representation. 615 24$aCommunications Engineering, Networks. 676 $a006.4/5 700 $aTanguiane$b Andranick S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0613386 906 $aBOOK 912 $a996466055303316 996 $aArtificial perception and music recognition$91489514 997 $aUNISA