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» Efficient Generation of Prime Numbers
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145 views 134 votes 15 years 7 months ago  ASIACRYPT 2006»
Non-interactive zero-knowledge proofs play an essential role in many cryptographic protocols. We suggest several NIZK proof systems based on prime order groups with a bilinear map...
134 views 154 votes 15 years 1 months ago  AOR 2010»
Column generation algorithms have been specially designed for solving mathematical programs with a huge number of variables. Unfortunately, this method suffers from slow convergen...
162 views 145 votes 15 years 8 months ago  ADBIS 2009»
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
111 views 124 votes 15 years 9 months ago  ANTS 2004»
We present a technique to recover f ∈ Q(ζp) where ζp is a primitive pth root of unity for a prime p, given its norm g = f ∗ ¯f in the totally real field Q(ζp + ζ−1 p )....
154 views 139 votes 15 years 2 months ago  IMCSIT 2010»
The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
169 views 256 votes 16 years 4 months ago  CP 2009»
This paper presents a new way of formalizing the Coalition Structure Generation problem (CSG), so that we can apply constraint optimization techniques to it. Forming effective coal...
107 views 253 votes 16 years 4 months ago  POPL 2009»
This paper describes an inter-procedural technique for computing symbolic bounds on the number of statements a procedure executes in terms of its scalar inputs and user-defined qu...
117 views 121 votes 15 years 10 months ago  ITNG 2006»
Sensor networks have emerged as an interesting and important research area in the last few years. In order to construct a wireless sensor network, synchronization of base stations...
227 views 148 votes 16 years 6 months ago  ICCV 2005»
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
463 views 149 votes 16 years 15 days ago  CVPR 2010»
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...