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» A Fast Skeletonization Method
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127
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ICANN
2001
Springer
15 years 5 months ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue
WEBI
2001
Springer
15 years 5 months ago
A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster
Abstract. Thanks to the recent explosive progress of WWW (WorldWide Web), we can easily access a large number of images from WWW. There are, however, no established methods to make...
Keiji Yanai, Masaya Shindo, Kohei Noshita
111
Voted
IPPS
2000
IEEE
15 years 5 months ago
Fast Measurement of LogP Parameters for Message Passing Platforms
Abstract. Performance modeling is important for implementing efficient parallel applications and runtime systems. The LogP model captures the relevant aspects of message passing i...
Thilo Kielmann, Henri E. Bal, Kees Verstoep
93
Voted
ICMCS
1999
IEEE
148views Multimedia» more  ICMCS 1999»
15 years 5 months ago
A System for the Fast Prototyping of Multidimensional Image Retrieval
Multidimensional image retrieval (MIR) views an image as a multidimensional object, where each dimension is a channel for retrieval. MIR has the potential of putting at work toget...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
91
Voted
DATE
1997
IEEE
70views Hardware» more  DATE 1997»
15 years 5 months ago
Fast power loss calculation for digital static CMOS circuits
: In this paper, we present a new dynamic power estimation method that produces accurate power measures at considerably faster run times. The approach uses an enhanced switch-level...
Sergey Gavrilov, Alexey Glebov, S. Rusakov, David ...