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  Ein "Bootstrapping Algorithmus" zum Erlernen eines linearisierten Objektklassen-Modells

Vetter, T. (1996). Ein "Bootstrapping Algorithmus" zum Erlernen eines linearisierten Objektklassen-Modells. Aktives Sehen in technischen und biologischen Systemen, Proceedings in Artificial Intelligence:, 182-185.

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 Creators:
Vetter, T1, Author           
Mertsching, B., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Dates: 1996-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 3-89601-002-6
URI: http://getwww.uni-paderborn.de/misc/fg-bildverstehen/history/history/ws_active.html
BibTex Citekey: 1889
 Degree: -

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Title: Workshop der GI-Fachgruppe 1.0.4 Bildverstehen
Place of Event: Hamburg, Germany
Start-/End Date: -

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Title: Aktives Sehen in technischen und biologischen Systemen, Proceedings in Artificial Intelligence:
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Sankt Augustin : Infix
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 182 - 185 Identifier: -