IMAGE CLASSIFICATION DIFFICULTIES

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F04%3A5780" target="_blank" >RIV/60460709:41110/04:5780 - isvavai.cz</a>

Alternative codes found

RIV/67985556:_____/04:00106345

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

IMAGE CLASSIFICATION DIFFICULTIES

Original language description

: For many practical problems, it is impossible to hypothesize distribution function firstly and some distribution models, such as Gaussian distribution, may not suit to complicated distribution in practical. This paper shows the possibility of the approach based on the maximum entropy theory that can optimally describe the spatial data distribution and gives actual error estimation.

Czech name

POZNÁMKY KE KLASIFIKACI OBRAZOVÝCH DAT

Czech description

: For many practical problems, it is impossible to hypothesize distribution function firstly and some distribution models, such as Gaussian distribution, may not suit to complicated distribution in practical. This paper shows the possibility of the approach based on the maximum entropy theory that can optimally describe the spatial data distribution and gives actual error estimation.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Agrarian Prospects XIII

ISBN

80-213-1190-8

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

493-496

Publisher name

PEF CZU Praha

Place of publication

Praha

Event location

Praha

Event date

Sep 22, 2004

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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