Etiqueta de registo: 00230nam 2200025 450
001 1758728
003 http://id.bnportugal.gov.pt/bib/catbnp/1758728
100 ## $a20101011d2008 k y0pory0103 ba
101 0# $aeng$dpor
102 ## $aPT
105 ## $aa m 000yy
106 ## $ar
200 1# $aNew methodologies towards an automatic optical recognition of handwritten musical scores$fAna Maria Rebelo
210 #9 $aPorto$c[s.n.],$d2008
215 ## $aX, 105, 23 p.$cil.$d30 cm
215 ## $a1 disco óptico (CD-ROM) em caixa$cil.$d13 x 14 x 1 cm
305 ## $aEd. impressa e em CD-ROM
320 ## $aBibliografia, p. 76-80
328 #1 $aTese mestr. Engenharia Matemática, Fac. de Ciências, Univ. do Porto, 2008
675 ## $a519.7(043)$vBN$zpor$31229234
675 ## $a78.02(043)$vBN$zpor$31161016
700 #1 $92$aRebelo,$bAna Maria$31437391
801 #0 $aPT$bBN$gRPC
966 ## $lBN$mDEM$sS.A. 47926 P.$x1
966 ## $lBN$mFGMON$sS.A. 135507 V.$x1

Etiqueta de registo: 00000nam 2200025 450
001 2072435
003 http://id.bnportugal.gov.pt/bib/catbnp/2072435
100 ## $a20210609d2020 k y0pory01030103ba
101 0# $aeng$dpor
102 ## $aPT
105 ## $aa m 000yy
106 ## $ar
200 1# $aSign language recognition$eintegrating prior domain knowledge into deep neural networks$fJoão Manuel Leite Pimenta Carneiro$gorient. Ana Maria Rebelo, Jaime dos Santos Cardoso
210 #9 $aPorto$c[s.n.],$d2020
215 ## $aXXX, 216 p.$cil.$d30 cm
328 #1 $aTese dout. Engenharia Electrotécnica e de Computadores, Fac. de Engenharia, Univ. do Porto, 2020
675 ## $a004.8(043)$vBN$zpor$31234122
700 #1 $aFerreira,$bPedro Miguel Martins$31811082
702 #1 $92$aRebelo,$bAna Maria$4727$31437391
702 #1 $aCardoso,$bJaime dos Santos,$f1976-$4727$31300011
801 #0 $aPT$bBN$gRPC
856 40 $2Cópia digital disponível no Repositório Aberto da Universidade do Porto$uhttps://hdl.handle.net/10216/126550
966 ## $lBN$mFGMON$sP. 58450 V.$x1
972 ## $e0$d20210930$visantos
973 ## $cmcarvalho$d20210928