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ICDE
2008
IEEE
158views Database» more  ICDE 2008»
16 years 4 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
124
Voted
ICCV
2007
IEEE
15 years 9 months ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
118
Voted
TCSV
2008
195views more  TCSV 2008»
15 years 2 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
105
Voted
ICPR
2008
IEEE
16 years 4 months ago
Feature Fusion Hierarchies for gender classification
We present a hierarchical feature fusion model for image classification that is constructed by an evolutionary learning algorithm. The model has the ability to combine local patch...
Fabien Scalzo, George Bebis, Mircea Nicolescu, Lea...
ICIP
2009
IEEE
16 years 3 months ago
Rapid And Robust Human Detection And Tracking Based On Omega-shape Features
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules ...