Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lisowska, Agnes"'
Autor:
Carletta, Jean, Ashby, Simone, Bourban, Sebastien, Flynn, Mike, Guillemot, Mael, Hain, Thomas, Kadlec, Jaroslav, Karaiskos, Vasilis, Kraaij, Wessel, Kronenthal, Melissa, Lathoud, Guillaume, Lincoln, Mike, Lisowska, Agnes, McCowan, Iain, Post, Wilfried, Reidsma, Dennis, Wellner, Pierre, Renals, S., Bengio, S.
Publikováno v:
Machine Learning for Multimodal Interaction, Second International Workshop, 28-39
STARTPAGE=28;ENDPAGE=39;TITLE=Machine Learning for Multimodal Interaction, Second International Workshop
Machine Learning for Multimodal Interaction ISBN: 9783540325499
MLMI
Lecture Notes in Computer Science. Springer Verlag
STARTPAGE=28;ENDPAGE=39;TITLE=Machine Learning for Multimodal Interaction, Second International Workshop
Machine Learning for Multimodal Interaction ISBN: 9783540325499
MLMI
Lecture Notes in Computer Science. Springer Verlag
The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. It is being created in the context of a project that is developing meeting browsing technology and will eventually be released publicly. Some of the meeti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c182040e95781dd80f63c9d73a6cc4
https://doi.org/10.1007/11677482_3
https://doi.org/10.1007/11677482_3
Publikováno v:
Proceedings of the 7th International Conference: Advances in Mobile Computing & Multimedia; 12/14/2009, p129-136, 8p
Publikováno v:
CHI '07 Extended Abstracts: Human Factors in Computing Systems; 4/28/2007, p1805-1810, 6p
Publikováno v:
Machine Learning for Multimodal Interaction (9783540692676); 2006, p142-153, 12p
Autor:
Renals, Steve, Bengio, Samy, Carletta, Jean, Ashby, Simone, Bourban, Sebastien, Flynn, Mike, Guillemot, Mael, Hain, Thomas, Kadlec, Jaroslav, Karaiskos, Vasilis, Kraaij, Wessel, Kronenthal, Melissa, Lathoud, Guillaume, Lincoln, Mike, Lisowska, Agnes, McCowan, Iain, Post, Wilfried, Reidsma, Dennis, Wellner, Pierre
Publikováno v:
Machine Learning for Multimodal Interaction (9783540325499); 2006, p28-39, 12p
Publikováno v:
Machine Learning for Multimodal Interaction; 2005, p291-304, 14p
Publikováno v:
Scopus-Elsevier
Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers, 291-304
STARTPAGE=291;ENDPAGE=304;TITLE=Machine Learning for Multimodal Interaction
Machine Learning for Multimodal Interaction ISBN: 9783540245094
MLMI
Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers, 291-304
STARTPAGE=291;ENDPAGE=304;TITLE=Machine Learning for Multimodal Interaction
Machine Learning for Multimodal Interaction ISBN: 9783540245094
MLMI
This paper describes a multimodal dialogue driven system, ARCHIVUS, that allows users to access and retrieve the content of recorded and annotated multimodal meetings. We describe (1) a novel approach taken in designing the system given the relative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68394e1596ddbc43bebc768d0f1940e4
https://infoscience.epfl.ch/record/268984
https://infoscience.epfl.ch/record/268984
Autor:
Lisowska, Agnes
Publikováno v:
Proceedings of the 6th International Conference: Multimodal Interfaces; 10/13/2004, p348-348, 1p