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» Boosting linear discriminant analysis for face recognition
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MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 9 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
EUROSSC
2008
Springer
13 years 9 months ago
People Identification Using Gait Via Floor Pressure Sensing and Analysis
This paper presents an approach to people identification using gait based on floor pressure data. By using a large area high resolution pressure sensing floor, we were able to obta...
Gang Qian, Jiqing Zhang, Assegid Kidané
CVPR
1998
IEEE
14 years 9 months ago
Subtly Different Facial Expression Recognition and Expression Intensity Estimation
We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. E...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
ICASSP
2011
IEEE
12 years 11 months ago
ECG for blind identity verification in distributed systems
This paper discusses ECG biometric recognition in a distributed system, such as smart cards. In a setting where every card is equipped with an ECG sensor to record heart beats fro...
Jiexin Gao, Foteini Agrafioti, Hoda Mohammadzade, ...
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 1 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano