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ICCV
2007
IEEE
15 years 10 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
AMFG
2007
IEEE
283views Biometrics» more  AMFG 2007»
15 years 8 months ago
Learning Personal Specific Facial Dynamics for Face Recognition from Videos
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
Abdenour Hadid, Matti Pietikäinen, Stan Z. Li
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 8 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
AAAI
2008
15 years 6 months ago
Dimension Amnesic Pyramid Match Kernel
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
Yi Liu, Xulei Wang, Hongbin Zha
ESWS
2008
Springer
15 years 6 months ago
Enriching an Ontology with Multilingual Information
Organizations working in a multilingual environment demand multilingual ontologies. To solve this problem we propose LabelTranslator, a system that automatically localizes ontologi...
Mauricio Espinoza, Asunción Gómez-P&...