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» Machine-Learning Applications of Algorithmic Randomness
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TC
2008
13 years 9 months ago
The Convergence-Guaranteed Random Walk and Its Applications in Peer-to-Peer Networks
Network structure construction and global state maintenance are expensive in large-scale, dynamic peer-to-peer (p2p) networks. With inherent topology independence and low state mai...
Ming Zhong, Kai Shen, Joel I. Seiferas
TDSC
2010
119views more  TDSC 2010»
13 years 4 months ago
On the General Applicability of Instruction-Set Randomization
We describe Instruction-Set Randomization (ISR), a general approach for safeguarding systems against any type of code-injection attack. We apply Kerckhoffs' principle to creat...
Stephen W. Boyd, Gaurav S. Kc, Michael E. Locasto,...
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
14 years 3 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
ECCV
2008
Springer
14 years 11 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
DKE
2007
130views more  DKE 2007»
13 years 9 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan