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» A comparison of two approaches to pseudorandomness
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BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ISQED
2002
IEEE
83views Hardware» more  ISQED 2002»
15 years 2 months ago
A Hybrid BIST Architecture and Its Optimization for SoC Testing
This paper presents a hybrid BIST architecture and methods for optimizing it to test systems-on-chip in a cost effective way. The proposed self-test architecture can be implemente...
Gert Jervan, Zebo Peng, Raimund Ubar, Helena Kruus
ECML
2007
Springer
15 years 3 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
DAGM
2004
Springer
15 years 1 months ago
Differential Analysis of Two Model-Based Vehicle Tracking Approaches
An experimental comparison of `Edge-Element Association (EEA)' and `Marginalized Contour (MCo)' approaches for 3D modelbased vehicle tracking in traffic scenes is complic...
Hendrik Dahlkamp, Arthur E. C. Pece, Artur Ottlik,...
TCC
2009
Springer
117views Cryptology» more  TCC 2009»
15 years 10 months ago
Towards a Theory of Extractable Functions
Extractable functions are functions where any adversary that outputs a point in the range of the function is guaranteed to "know" a corresponding preimage. Here, knowledg...
Ran Canetti, Ronny Ramzi Dakdouk