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» Distributed Computing with Imperfect Randomness
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IEEEIAS
2007
IEEE
15 years 8 months ago
Generative Models for Fingerprint Individuality using Ridge Types
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
Gang Fang, Sargur N. Srihari, Harish Srinivasan
JOC
2007
94views more  JOC 2007»
15 years 2 months ago
On Unconditionally Secure Distributed Oblivious Transfer
This paper is about the Oblivious Transfer in the distributed model proposed by M. Naor and B. Pinkas. In this setting a Sender has n secrets and a Receiver is interested in one o...
Carlo Blundo, Paolo D'Arco, Alfredo De Santis, Dou...
140
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CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 9 months ago
Universal and Robust Distributed Network Codes
Random linear network codes can be designed and implemented in a distributed manner, with low computational complexity. However, these codes are classically implemented [1] over fi...
Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Lin...
139
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ISCC
2006
IEEE
154views Communications» more  ISCC 2006»
15 years 8 months ago
Decentralized Load Balancing for Highly Irregular Search Problems
In this paper, we present a Dynamic Load Balancing (DLB) policy for problems characterized by a highly irregular search tree, whereby no reliable workload prediction is available....
Giuseppe Di Fatta, Michael R. Berthold
151
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TSP
2010
14 years 9 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat