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NIPS
2001
14 years 11 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
ICASSP
2008
IEEE
15 years 4 months ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
CLUSTER
2004
IEEE
15 years 1 months ago
Cluster computing environment supporting single system image
Single system image(SSI) systems have been the mainstay of high-performance computing for many years. SSI requires the integration and aggregation of all types of resources in a c...
Min Choi, DaeWoo Lee, Seung Ryoul Maeng
100
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MOBIQUITOUS
2008
IEEE
15 years 4 months ago
ScreenSpot: multidimensional resource discovery for distributed applications in smart spaces
The big challenge related to the contemporary research on ubiquitous and pervasive computing is that of seamless integration. For the next generation of ubiquitous and distributed...
Marko Jurmu, Sebastian Boring, Jukka Riekki
TNN
1998
146views more  TNN 1998»
14 years 9 months ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou