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APAL
2006
64views more  APAL 2006»
13 years 8 months ago
What can be efficiently reduced to the Kolmogorov-random strings?
We investigate the question of whether one can characterize complexity classes (such as PSPACE or NEXP) in terms of efficient reducibility to the set of Kolmogorovrandom strings R...
Eric Allender, Harry Buhrman, Michal Koucký
IJBC
2007
39views more  IJBC 2007»
13 years 8 months ago
Optimal CNN Templates for Linearly-Separable One-Dimensional Cellular Automata
In this tutorial, we present optimal Cellular Nonlinear Network (CNN) templates for implementing linearly-separable one-dimensional (1-D) Cellular Automata (CA). From the gallery ...
P. J. Chang, Bharathwaj Muthuswamy
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
DSD
2005
IEEE
96views Hardware» more  DSD 2005»
13 years 10 months ago
Improvement of the Fault Coverage of the Pseudo-Random Phase in Column-Matching BIST
Several methods improving the fault coverage in mixed-mode BIST are presented in this paper. The test is divided into two phases: the pseudo-random and deterministic. Maximum of f...
Peter Filter, Hana Kubatova
CORR
2010
Springer
90views Education» more  CORR 2010»
13 years 6 months ago
Fast Pseudo-Random Fingerprints
Abstract. We propose a method to exponentially speed up computation of various fingerprints, such as the ones used to compute similarity and rarity in massive data sets. Rather the...
Yoram Bachrach, Ely Porat