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156
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ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
15 years 1 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
AAAI
2012
13 years 6 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo
142
Voted
ICPPW
2003
IEEE
15 years 9 months ago
Security Aspects of Wireless Heterogeneous Databases - Protocol, Performance, and Energy Analysis
Users have been demanding information “anytime, anywhere”. The notion of accessing diverse and autonomous information repositories with different APIs is not accepted. This ha...
Harshal Haridas, Ali R. Hurson, Yu Jiao
157
Voted
NIPS
2007
15 years 5 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
WEBI
2005
Springer
15 years 9 months ago
Measuring the Relative Performance of Schema Matchers
Schema matching is a complex process focusing on matching between concepts describing the data in heterogeneous data sources. There is a shift from manual schema matching, done by...
Shlomo Berkovsky, Yaniv Eytani, Avigdor Gal