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93
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MLMI
2005
Springer
15 years 6 months ago
Dominance Detection in Meetings Using Easily Obtainable Features
We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic feature...
Rutger Rienks, Dirk Heylen
145
Voted
ICRA
2005
IEEE
131views Robotics» more  ICRA 2005»
15 years 6 months ago
Multifunctional Whisker Arrays for Distance Detection, Terrain Mapping, and Object Feature Extraction
: Several species of animals use whiskers to accurately navigate and explore objects in the absence of vision. We have developed inexpensive arrays of artificial whiskers based on ...
Aimee Schultz, Joseph Solomon, Michael A. Peshkin,...
113
Voted
AVBPA
1997
Springer
113views Biometrics» more  AVBPA 1997»
15 years 4 months ago
Generalized Likelihood Ratio-based Face Detection and Extraction of Mouth Features
In this paper we describe a system to reliably localize the position of the speaker’s face and mouth in videophone sequences. A statistical scheme based on a subspace method is p...
Charles Kervrann, Franck Davoine, P. Pérez,...
116
Voted
ICASSP
2010
IEEE
14 years 11 months ago
Speech/Non-Speech Detection in Meetings from Automatically Extracted low Resolution Visual Features
In this paper we address the problem of estimating who is speaking from automatically extracted low resolution visual cues in group meetings. Traditionally, the task of speech/non...
Hayley Hung, Sileye O. Ba
ICASSP
2011
IEEE
14 years 4 months ago
Improved spoken term detection with graph-based re-ranking in feature space
This paper presents a graph-based approach for spoken term detection. Each first-pass retrieved utterance is a node on a graph and the edge between two nodes is weighted by the s...
Yun-Nung Chen, Chia-Ping Chen, Hung-yi Lee, Chun-a...