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. Attached Files Name Description MIMEType Size Downloads Title Using Probabilistic Feature Matching to Understand Spoken Descriptions Author(s) Zukerman, I Makalic, E 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 9783540893776 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 Collections: Faculty of Arts and Education School of Communication and Creative Arts Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 09 May 2017, 15:10:13 EST Wed, 10 May 2017, 05:03:28 EST Tue, 04 Jul 2017, 16:13:15 EST Thu, 21 Sep 2017, 06:17:43 EST Sat, 14 Oct 2017, 01:30:36 EST Tue, 22 May 2018, 12:32:25 EST Tue, 22 May 2018, 12:34:06 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 40 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 04 Jul 2017, 16:13:15 EST

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