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» Word Importance Discrimination Using Context Information
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ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Where am I? Scene Recognition for Mobile Robots using Audio Features
Automatic recognition of unstructured environments is an important problem for mobile robots. We focus on using audio features to recognize different auditory environments, where ...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo,...
COGSR
2010
132views more  COGSR 2010»
14 years 4 months ago
Ontologies and the brain: Using spreading activation through ontologies to support personal interaction
Ontologies, as knowledge engineering tools, allow information to be modelled in ways resembling to those used by the human brain, and may be very useful in the context of personal...
Akrivi Katifori, Costas Vassilakis, Alan J. Dix
COGSCI
2007
107views more  COGSCI 2007»
14 years 10 months ago
The Dynamics of Lexical Competition During Spoken Word Recognition
The sounds that make up spoken words are heard in a series and must be mapped rapidly onto words in memory because their elements, unlike those of visual words, cannot simultaneou...
James S. Magnuson, James A. Dixon, Michael K. Tane...
COLING
2002
14 years 9 months ago
An English-Korean Transliteration Model Using Pronunciation and Contextual Rules
There is increasing concern about English-Korean (E-K) transliteration recently. In the previous works, direct converting methods from English alphabets to Korean alphabets were a...
Jong-Hoon Oh, Key-Sun Choi
CVPR
2008
IEEE
15 years 12 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah