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» Word Importance Discrimination Using Context Information
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C5
2009
IEEE
15 years 2 months ago
The PresenceDetector: Context Awareness for Collaboration
In this paper we introduce a concept of how the status of project partners in a virtual collaboration environment can be transferred in a subtle manner to gain useful information ...
Moritz Kemper, Constanze Langer, Christine Strotho...
COGSCI
2010
125views more  COGSCI 2010»
14 years 10 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
SIGIR
2009
ACM
15 years 4 months ago
Combining audio content and social context for semantic music discovery
When attempting to annotate music, it is important to consider both acoustic content and social context. This paper explores techniques for collecting and combining multiple sourc...
Douglas Turnbull, Luke Barrington, Gert R. G. Lanc...
IUI
2005
ACM
15 years 3 months ago
Context-based similar words detection and its application in specialized search engines
This paper presents a new context-based method for automatic detection and extraction of similar and related words from texts. Finding similar words is a very important task for m...
Hisham Al-Mubaid, Ping Chen
CVPR
2006
IEEE
15 years 12 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...