Using Probabilistic Feature Matching to Understand Spoken Descriptions

Zukerman, I; Makalic, E; Niemann, M

Using Probabilistic Feature Matching to Understand Spoken Descriptions

https://hdl.handle.net/10536/DRO/DU:30095273
Open external identifier URL

conference contribution

posted on 2024-06-06, 11:17 authored by I Zukerman, E Makalic, M Niemann

Using Probabilistic Feature Matching to Understand Spoken Descriptions

History

Location

Auckland Univ Technol, Auckland, NEW ZEALAND

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000263294500016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

EN.1 Other conference paper

Editor/Contributor(s)

Wobcke W, Zhang M

Volume

5360

Pagination

157-167

Start date

2008-12-01

End date

2008-12-05

ISSN

0302-9743

ISBN-13

978-3-540-89377-6

Title of proceedings

AI 2008: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS

Event

21st Australian Joint Conference on Artificial Intelligence

Publisher

SPRINGER-VERLAG BERLIN

Place of publication

Berlin, Germany

Series

Lecture Notes in Artificial Intelligence

Usage metrics

Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science 080107 Natural Language Processing 890205 Information Processing Services (incl. Data Entry and Capture)

Using Probabilistic Feature Matching to Understand Spoken Descriptions

History

Location

Language

Author URL

Publication classification

Editor/Contributor(s)

Volume

Pagination

Start date

End date

ISSN

ISBN-13

Title of proceedings

Event

Publisher

Place of publication

Series

Usage metrics

Categories

Keywords

Licence

Exports