207 search results - page 1 / 42 » A Privacy Preserving Framework for Gaussian Mixture Models |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
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...
KDD
2004
ACM
13 years 9 months ago
2004
ACM
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
PAMI
2006
13 years 4 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
AAAI
2011
12 years 4 months ago
2011
With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...