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» Fast and robust discriminant analysis
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 9 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
ICPR
2008
IEEE
14 years 8 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu
ICMCS
2006
IEEE
110views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Image Replica Detection using R-Trees and Linear Discriminant Analysis
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
Spyros Nikolopoulos, Stefanos Zafeiriou, Panagioti...
MICCAI
2009
Springer
14 years 8 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
FGR
2011
IEEE
245views Biometrics» more  FGR 2011»
12 years 11 months ago
Fast and robust appearance-based tracking
— We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently propo...
Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzim...