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AUSFORENSICS
2004
15 years 8 months ago
An Analysis and Comparison of Clustered Password Crackers
Password policies alone do not stand a chance of securing computer systems which rely on the use of secretbased, password authentication methods. The enforcement of "strong&q...
Christian Frichot
185
Voted
NIPS
2004
15 years 8 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 7 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
IJON
2008
173views more  IJON 2008»
15 years 6 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
SSPR
2010
Springer
15 years 5 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain