207 search results - page 12 / 42 » A Privacy Preserving Framework for Gaussian Mixture Models |
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
NIPS
2001
13 years 10 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
NIPS
2007
13 years 10 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
SIGMOD
2012
ACM
11 years 11 months ago
2012
ACM
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...