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» Statistical Shape Analysis via Principal Factor Analysis
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MIR
2010
ACM
179views Multimedia» more  MIR 2010»
13 years 3 months ago
Speculation on the generality of the backward stepwise view of PCA
A novel backwards viewpoint of Principal Component Analysis is proposed. In a wide variety of cases, that fall into the area of Object Oriented Data Analysis, this viewpoint is se...
J. S. Marron, Sungkyu Jung, Ian L. Dryden
SAS
2010
Springer
172views Formal Methods» more  SAS 2010»
13 years 3 months ago
Deriving Numerical Abstract Domains via Principal Component Analysis
Numerical Abstract Domains via Principal Component Analysis Gianluca Amato, Maurizio Parton, and Francesca Scozzari Universit`a di Chieti-Pescara – Dipartimento di Scienze We pro...
Gianluca Amato, Maurizio Parton, Francesca Scozzar...
ICML
2004
IEEE
14 years 5 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
ICCV
2003
IEEE
14 years 6 months ago
Shape Representation via Harmonic Embedding
We present a novel representation of shape for closed planar contours explicitly designed to possess a linear structure. This greatly simplifies linear operations such as averagin...
Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitte...
ICC
2008
IEEE
118views Communications» more  ICC 2008»
13 years 11 months ago
A Principal Components Analysis-Based Robust DDoS Defense System
—One of the major threats to cyber security is the Distributed Denial-of-Service (DDoS) attack. In our previous projects, PacketScore, ALPi, and other statistical filtering-based...
Huizhong Sun, Yan Zhaung, H. Jonathan Chao