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» K-means clustering via principal component analysis
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RT
2004
Springer
14 years 25 days ago
All-Frequency Precomputed Radiance Transfer for Glossy Objects
We introduce a method based on precomputed radiance transfer (PRT) that allows interactive rendering of glossy surfaces and includes shadowing effects from dynamic, “all-frequen...
Xinguo Liu, Peter-Pike J. Sloan, Heung-Yeung Shum,...
JCP
2006
157views more  JCP 2006»
13 years 7 months ago
CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
CVPR
2007
IEEE
14 years 9 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
IEEEPACT
2002
IEEE
14 years 12 days ago
Workload Design: Selecting Representative Program-Input Pairs
Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) whic...
Lieven Eeckhout, Hans Vandierendonck, Koenraad De ...
AMC
2007
92views more  AMC 2007»
13 years 7 months ago
An integrated framework for continuous assessment and improvement of manufacturing systems
This paper presents an integrated framework for assessment and ranking of manufacturing systems based on management and organizational performance indicators. The integrated appro...
Ali Azadeh, S. F. Ghaderi, Y. Partovi Miran, V. Eb...