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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 10 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
NIPS
2007
15 years 4 months ago
On higher-order perceptron algorithms
A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
Claudio Gentile, Fabio Vitale, Cristian Brotto
CIKM
2006
Springer
15 years 7 months ago
The visual funding navigator: analysis of the NSF funding information
This paper presents an interactive visualization toolkit for navigating and analyzing the National Science Foundation (NSF) funding information. Our design builds upon an improved...
Shixia Liu, Nan Cao, Hao Lv, Hui Su
112
Voted
CHES
2003
Springer
88views Cryptology» more  CHES 2003»
15 years 8 months ago
A New Algorithm for Switching from Arithmetic to Boolean Masking
To protect a cryptographic algorithm against Differential Power Analysis, a general method consists in masking all intermediate data with a random value. When a cryptographic algo...
Jean-Sébastien Coron, Alexei Tchulkine
ECML
1993
Springer
15 years 7 months ago
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
Gilles Venturini