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JMLR
2012
13 years 8 months ago
Adaptive MCMC with Bayesian Optimization
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...
CTRSA
2010
Springer
200views Cryptology» more  CTRSA 2010»
16 years 13 days ago
Resettable Public-Key Encryption: How to Encrypt on a Virtual Machine
Typical security models used for proving security of deployed cryptographic primitives do not allow adversaries to rewind or reset honest parties to an earlier state. Thus, it is c...
Scott Yilek
TSP
2010
15 years 9 days ago
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
Minhua Chen, Jorge Silva, John William Paisley, Ch...
197
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JSAC
2010
188views more  JSAC 2010»
15 years 12 days ago
Random-walk based approach to detect clone attacks in wireless sensor networks
Abstract--Wireless sensor networks (WSNs) deployed in hostile environments are vulnerable to clone attacks. In such attack, an adversary compromises a few nodes, replicates them, a...
Yingpei Zeng, Jiannong Cao, Shigeng Zhang, Shanqin...
ICDE
2007
IEEE
140views Database» more  ICDE 2007»
16 years 7 months ago
Selecting Stars: The k Most Representative Skyline Operator
Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of selecting k skyline points so that the number of points,...
Xuemin Lin, Yidong Yuan, Qing Zhang, Ying Zhang