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ICIC
2005
Springer
16 years 2 hour ago
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 11 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
AIMS
2008
Springer
16 years 25 days ago
An Architecture for Supporting Network Fault Recovery Management
Highly available and resilient networks play a decisive role in today’s networked world. As network faults are inevitable and networks are becoming constantly intricate, finding...
Feng Liu, Antonis M. Hadjiantonis, Ha Manh Tran, M...
HICSS
2007
IEEE
126views Biometrics» more  HICSS 2007»
16 years 25 days ago
Enriching Literature Reviews with Computer-Assisted Research Mining. Case: Profiling Group Support Systems Research
In this paper we discuss and demonstrate how traditional literature reviews may be enriched by computer-assisted research profiling. Research profiling makes use of sophisticated ...
Johanna Bragge, Sami Relander, Anne Sunikka, Petri...
ICSE
2007
IEEE-ACM
16 years 6 months ago
Supporting the Investigation and Planning of Pragmatic Reuse Tasks
Software reuse has long been promoted as a means to increase developer productivity; however, reusing source code is difficult in practice and tends to be performed in an ad hoc m...
Reid Holmes, Robert J. Walker