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» On Generating Independent Random Strings
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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
WEA
2010
Springer
284views Algorithms» more  WEA 2010»
14 years 2 months ago
Paging Multiple Users in Cellular Network: Yellow Page and Conference Call Problems
Abstract. Mobile users are roaming in a zone of cells in a cellular network system. The probabilities of each user residing in each cell are known, and all probabilities are indepe...
Amotz Bar-Noy, Panagiotis Cheilaris, Yi Feng 0002
FSE
2009
Springer
159views Cryptology» more  FSE 2009»
14 years 2 months ago
Intel's New AES Instructions for Enhanced Performance and Security
The Advanced Encryption Standard (AES) is the Federal Information Processing Standard for symmetric encryption. It is widely believed to be secure and efficient, and is therefore b...
Shay Gueron
SBIA
2004
Springer
14 years 21 days ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
INFOCOM
2011
IEEE
12 years 10 months ago
A prior-free revenue maximizing auction for secondary spectrum access
—Dynamic spectrum allocation has proven promising for mitigating the spectrum scarcity problem. In this model, primary users lease chunks of under-utilized spectrum to secondary ...
Ajay Gopinathan, Zongpeng Li