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ICPR
2008
IEEE
15 years 9 months ago
RANSAC-SVM for large-scale datasets
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Kenji Watanabe, Takio Kurita
ESA
2008
Springer
148views Algorithms» more  ESA 2008»
15 years 4 months ago
Selfish Bin Packing
Following recent interest in the study of computer science problems in a game theoretic setting, we consider the well known bin packing problem where the items are controlled by se...
Leah Epstein, Elena Kleiman
146
Voted
BMCBI
2006
179views more  BMCBI 2006»
15 years 2 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
124
Voted
JUCS
2008
130views more  JUCS 2008»
15 years 2 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
143
Voted
INFOCOM
2011
IEEE
14 years 6 months ago
A prior-free revenue maximizing auction for secondary spectrum access
—Dynamic spectrum allocation has proven promising for mitigating the spectrum scarcity problem. In this model, primary users lease chunks of under-utilized spectrum to secondary ...
Ajay Gopinathan, Zongpeng Li