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» Nonlinear principal component analysis of noisy data
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78
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AUTOMATICA
2006
109views more  AUTOMATICA 2006»
14 years 9 months ago
Closed-loop subspace identification using the parity space
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...
Jin Wang, S. Joe Qin
86
Voted
ICPR
2010
IEEE
14 years 7 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Moncef Gabbouj
84
Voted
INTERSPEECH
2010
14 years 4 months ago
Prosody and voice quality of vocal social signals: the case of dominance in scenario meetings
In this paper we investigate the prosody and voice quality of dominance in scenario meetings. We have found that in these scenarios the most dominant person tends to speak with a ...
Marcela Charfuelan, Marc Schröder, Ingmar Ste...
ICCSA
2003
Springer
15 years 2 months ago
Efficient Speaker Identification Based on Robust VQ-PCA
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
Younjeong Lee, Joohun Lee, Ki Yong Lee
81
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BMCV
2000
Springer
15 years 2 months ago
Pose-Independent Object Representation by 2-D Views
We here describe a view-based system for the pose-independent representation of objects without making reference to 3-D models. Input to the system is a collection of pictures cov...
Jan Wieghardt, Christoph von der Malsburg