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» Approximation algorithms for projective clustering
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105
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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 9 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
VC
2008
138views more  VC 2008»
15 years 15 days ago
A GPU-based light hierarchy for real-time approximate illumination
Illumination rendering including environment lighting, indirect illumination, and subsurface scattering plays for many graphics applications such as games and VR systems. However, ...
Hyunwoo Ki, Kyoungsu Oh
139
Voted
TNN
2010
216views Management» more  TNN 2010»
14 years 7 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
88
Voted
ACSAC
2001
IEEE
15 years 4 months ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
14 years 7 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...