Detail publikace

DETECTION OF OBJECT WITH USING NEURAL NETWORK AS SYMPTOM CLASSIFIER

SÁBLÍK, V.

Originální název

DETECTION OF OBJECT WITH USING NEURAL NETWORK AS SYMPTOM CLASSIFIER

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article deals with detection of spores in visual data obtained from a microscope. Classification process and its steps are explained. Furthermore, the article analyses the usage of neural network as symptomatic classifier. Characteristics of classification are shown on two concrete model-systems. Models are also evaluated.

Klíčová slova

detection object neural networks clessifier

Autoři

SÁBLÍK, V.

Rok RIV

2007

Vydáno

27. 4. 2007

Nakladatel

Ing. Zdeněk Novotný CSc., Ondráčkova 105, Brno

Místo

Brno

ISBN

978-80-214-3409-7

Kniha

Proceedings of the 13th conference STUDENT EEICT 2007, volume 3

Strany od

97

Strany do

101

Strany počet

4

BibTex

@inproceedings{BUT22774,
  author="Václav {Sáblík}",
  title="DETECTION OF OBJECT WITH USING NEURAL NETWORK AS SYMPTOM CLASSIFIER",
  booktitle="Proceedings of the 13th conference STUDENT EEICT 2007, volume 3",
  year="2007",
  pages="97--101",
  publisher="Ing. Zdeněk Novotný CSc., Ondráčkova 105, Brno",
  address="Brno",
  isbn="978-80-214-3409-7"
}