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WCE
2007
13 years 6 months ago
Face Recognition using Discrete Cosine Transform plus Linear Discriminant Analysis
—Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognit...
M. Hajiarbabi, J. Askari, S. Sadri, M. Saraee
CCGRID
2007
IEEE
13 years 12 months ago
Reliability Analysis of Self-Healing Network using Discrete-Event Simulation
The number of processors embedded on high performance computing platforms is continuously increasing to accommodate user desire to solve larger and more complex problems. However,...
Thara Angskun, George Bosilca, Graham E. Fagg, Jel...
ICML
2004
IEEE
14 years 6 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
ECCV
2002
Springer
14 years 7 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
VISUALIZATION
1999
IEEE
13 years 9 months ago
Construction of Vector Field Hierarchies
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
Bjørn Heckel, Gunther H. Weber, Bernd Haman...