Using Probabilistic Feature Matching to Understand Spoken Descriptions

Zukerman, I, Makalic, E and Niemann, Michael 2008, Using Probabilistic Feature Matching to Understand Spoken Descriptions, in AI 2008: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Berlin, Germany, pp. 157-167.

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Title Using Probabilistic Feature Matching to Understand Spoken Descriptions
Author(s) Zukerman, I
Makalic, E
Niemann, MichaelORCID iD for Niemann, Michael orcid.org/0000-0001-6278-7978
Conference name 21st Australian Joint Conference on Artificial Intelligence
Conference location Auckland Univ Technol, Auckland, NEW ZEALAND
Conference dates 2008/12/01 - 2008/12/05
Title of proceedings AI 2008: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
Editor(s) Wobcke, W
Zhang, M
Publication date 2008
Series Lecture Notes in Artificial Intelligence
Start page 157
End page 167
Total pages 11
Publisher SPRINGER-VERLAG BERLIN
Place of publication Berlin, Germany
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
ISBN 978-3-540-89377-6
ISSN 0302-9743
Language eng
Field of Research 080107 Natural Language Processing
08 Information And Computing Sciences
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category EN.1 Other conference paper
Persistent URL http://hdl.handle.net/10536/DRO/DU:30095273

Document type: Conference Paper
Collection: School of Communication and Creative Arts
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