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ICIC
2005
Springer
15 years 12 months 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-...
FTDCS
1999
IEEE
15 years 10 months ago
Supporting Real World Security Models in Java
The Java Security Model has undergone considerable evolution since its initial implementation. However, due to its historical focus on securing machines against attack from hostil...
Ian Welch, Robert J. Stroud
ICIP
2009
IEEE
15 years 4 months ago
Efficient reduction of support vectors in kernel-based methods
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
Takumi Kobayashi, Nobuyuki Otsu
PLDI
1996
ACM
15 years 10 months ago
A Reduced Multipipeline Machine Description that Preserves Scheduling Constraints
High performance compilers increasingly rely on accurate modeling of the machine resources to efficiently exploit the instruction level parallelism of an application. In this pape...
Alexandre E. Eichenberger, Edward S. Davidson
LREC
2010
196views Education» more  LREC 2010»
15 years 8 months ago
Composing Human and Machine Translation Services: Language Grid for Improving Localization Processes
With the development of the Internet environments, more and more language services become accessible for common people. However, the gap between human translators and machine tran...
Donghui Lin, Yoshiaki Murakami, Toru Ishida, Yohei...