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» Face recognition and alignment using support vector machines
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ICPR
2008
IEEE
14 years 8 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
ICMI
2007
Springer
160views Biometrics» more  ICMI 2007»
14 years 1 months ago
Using the influence model to recognize functional roles in meetings
In this paper, an influence model is used to recognize functional roles played during meetings. Previous works on the same corpus demonstrated a high recognition accuracy using SV...
Wen Dong, Bruno Lepri, Alessandro Cappelletti, Ale...
TNN
2008
178views more  TNN 2008»
13 years 7 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
CICLING
2005
Springer
14 years 1 months ago
Automatic Time Expression Labeling for English and Chinese Text
In this paper, we describe systems for automatic labeling of time expressions occurring in English and Chinese text as specified in the ACE Temporal Expression Recognition and Nor...
Kadri Hacioglu, Ying Chen, Benjamin Douglas
RAS
2010
136views more  RAS 2010»
13 years 6 months ago
A realistic benchmark for visual indoor place recognition
An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate loc...
Andrzej Pronobis, Barbara Caputo, Patric Jensfelt,...