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» Towards Privacy-Preserving Model Selection
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KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 5 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
IPPS
2008
IEEE
13 years 11 months ago
On performance bottleneck of anonymous communication networks
Although a significant amount of effort has been directed at discovering attacks against anonymity communication networks and developing countermeasures to those attacks, there i...
Ryan Pries, Wei Yu, Steve Graham, Xinwen Fu
GRC
2007
IEEE
13 years 11 months ago
Towards Mobile Internet: Location Privacy Threats and Granular Computation Challenges
The bulk of contents out on the Internet continue to grow at an astounding pace. As computing and communications become ubiquitous, we are entering the Mobile Internet Computing e...
Ling Liu
ECCV
2002
Springer
14 years 6 months ago
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
Abstract. An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model. Without any adaptivity, tracking fails when object pr...
Andrew Blake, Jaco Vermaak, Michel Gangnet, Patric...
ICPR
2004
IEEE
14 years 6 months ago
A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Select
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
Yiu-ming Cheung