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» Some Results on Effective Randomness
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TSE
2011
144views more  TSE 2011»
14 years 4 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
CRYPTO
2004
Springer
119views Cryptology» more  CRYPTO 2004»
15 years 3 months ago
Security of Random Feistel Schemes with 5 or More Rounds
We study cryptographic attacks on random Feistel schemes. We denote by m the number of plaintext/ciphertext pairs, and by k the number of rounds. In their famous paper [3], M. Luby...
Jacques Patarin
MM
2006
ACM
190views Multimedia» more  MM 2006»
15 years 3 months ago
Image annotation refinement using random walk with restarts
Image annotation plays an important role in image retrieval and management. However, the results of the state-of-the-art image annotation methods are often unsatisfactory. Therefo...
Changhu Wang, Feng Jing, Lei Zhang, HongJiang Zhan...
AOSD
2007
ACM
15 years 1 months ago
Efficiently mining crosscutting concerns through random walks
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
Charles Zhang, Hans-Arno Jacobsen
IWCMC
2010
ACM
14 years 11 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton