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WEBI
2005
Springer
15 years 3 months ago
HITS is Principal Components Analysis
In this work, we show that Kleinberg’s hubs and authorities model (HITS) is simply Principal Components Analysis (PCA; maybe the most widely used multivariate statistical analys...
Marco Saerens, François Fouss
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
15 years 1 months ago
A reconfigurable architecture for network intrusion detection using principal component analysis
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary
AKA
2004
14 years 11 months ago
Towards a Generic Framework for Evaluating Component-Based Software Architectures
Abstract: The evaluation of software architectures is crucial to ensure that the design of software systems meets the requirements. We present a generic methodical framework that e...
Steffen Becker, Viktoria Firus, Simon Giesecke, Wi...
DMIN
2006
124views Data Mining» more  DMIN 2006»
14 years 11 months ago
Optimal Multi-class Classification with Principal Components
An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtai...
Albert Hoang
ICASSP
2010
IEEE
14 years 10 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern