About: Signature verification using unsupervised learned neural networks     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • The Carpenter-Grosberg`s ART-2 and Kohonen`s Selforganizing Feature Map (SOFM) have been developed for the clustering of input vectors and have been commonly used as unsupervised learned classifiers. In this paper we describe the use of these neural net work models for signature verification. The architecture of the verifiers and achieved results are discussed here and ideas for future research are also suggested.
  • The Carpenter-Grosberg`s ART-2 and Kohonen`s Selforganizing Feature Map (SOFM) have been developed for the clustering of input vectors and have been commonly used as unsupervised learned classifiers. In this paper we describe the use of these neural net work models for signature verification. The architecture of the verifiers and achieved results are discussed here and ideas for future research are also suggested. (en)
Title
  • Signature verification using unsupervised learned neural networks
  • Signature verification using unsupervised learned neural networks (en)
skos:prefLabel
  • Signature verification using unsupervised learned neural networks
  • Signature verification using unsupervised learned neural networks (en)
skos:notation
  • RIV/49777513:23520/03:00000029!RIV/2004/MSM/235204/N
http://linked.open.../vavai/riv/strany
  • 71-75
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 235200005)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 626964
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/03:00000029
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • signature verification;ART-2;SoM;wavelet transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AE77FCB06FE7]
http://linked.open...v/mistoKonaniAkce
  • Florencie
http://linked.open...i/riv/mistoVydani
  • Florence
http://linked.open...i/riv/nazevZdroje
  • Artificial Neural Networks in Pattern Recognition
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matoušek, Václav
  • Mautner, Pavel
  • Rohlík, Ondřej
  • Kempf, Jürgen
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Florence
http://localhost/t...ganizacniJednotka
  • 23520
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software