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» Articulatory features for robust visual speech recognition
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ACIVS
2006
Springer
13 years 11 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICMI
2005
Springer
170views Biometrics» more  ICMI 2005»
14 years 1 months ago
Inferring body pose using speech content
Untethered multimodal interfaces are more attractive than tethered ones because they are more natural and expressive for interaction. Such interfaces usually require robust vision...
Sy Bor Wang, David Demirdjian
CORR
2002
Springer
63views Education» more  CORR 2002»
13 years 7 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Speech Acquisition in Meetings with an Audio-Visual Sensor Array
Close-talk headset microphones have been traditionally used for speech acquisition in a number of applications, as they naturally provide a higher signal-to-noise ratio -needed fo...
Iain McCowan, Maganto Hari Krishna, Daniel Gatica-...
ATAL
2007
Springer
14 years 1 months ago
Towards using multiple cues for robust object recognition
A robot’s ability to assist humans in a variety of tasks, e.g. in search and rescue or in a household, heavily depends on the robot’s reliable recognition of the objects in th...
Sarah Aboutalib, Manuela M. Veloso