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» On Feature Extraction via Kernels
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CVPR
2001
IEEE
14 years 12 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
FOCM
2010
122views more  FOCM 2010»
13 years 7 months ago
Scattering in Flatland: Efficient Representations via Wave Atoms
This paper presents a numerical compression strategy for the boundary integral equation of acoustic scattering in two dimensions. These equations have oscillatory kernels that we ...
Laurent Demanet, Lexing Ying
ICIC
2009
Springer
14 years 4 months ago
Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu
ICPR
2002
IEEE
14 years 11 months ago
Chinese Character Recognition via Gegenbauer Moments
Moment features have been applied in pattern recognition systems since the moment method was developed. In this paper, a set of moment features extracted from the newly developed ...
Simon X. Liao, Amy Chiang, Qin Lu, Miroslaw Pawlak
MM
2010
ACM
336views Multimedia» more  MM 2010»
13 years 10 months ago
Movie genre classification via scene categorization
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visu...
Howard Zhou, Tucker Hermans, Asmita V. Karandikar,...