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» Patterns of Component Evolution
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ICIP
2002
IEEE
16 years 3 months ago
Hybrid and parallel face classifier based on artificial neural networks and principal component analysis
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sa...
84
Voted
WWW
2007
ACM
16 years 2 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
120
Voted
APPT
2005
Springer
15 years 7 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
112
Voted
MIDDLEWARE
2004
Springer
15 years 7 months ago
On the benefits of decomposing policy engines into components
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Konstantin Beznosov
130
Voted
OOPSLA
1999
Springer
15 years 6 months ago
The Generic Graph Component Library
In this paper we present the Generic Graph Component Library (GGCL), a generic programming framework for graph data structures and graph algorithms. Following the theme of the Sta...
Lie-Quan Lee, Jeremy G. Siek, Andrew Lumsdaine