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128
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PVLDB
2010
95views more  PVLDB 2010»
15 years 3 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang
134
Voted
IM
2006
15 years 5 months ago
Estimating Entropy and Entropy Norm on Data Streams
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
Amit Chakrabarti, Khanh Do Ba, S. Muthukrishnan
ICPR
2010
IEEE
15 years 7 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
DAM
2008
88views more  DAM 2008»
15 years 5 months ago
Stochastic applications of media theory: Random walks on weak orders or partial orders
This paper presents the axioms of a real time random walk on the set of states of a medium and some of their consequences, such as the asymptotic probabilities of the states. The ...
Jean-Claude Falmagne, Yung-Fong Hsu, Fabio Leite, ...
133
Voted
ATAL
2004
Springer
15 years 10 months ago
Agents Swarming in Semantic Spaces to Corroborate Hypotheses
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to supp...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...