207 search results - page 8 / 42 » A Privacy Preserving Framework for Gaussian Mixture Models |
ESORICS
2009
Springer
14 years 9 months ago
2009
Springer
Abstract. Recent years have seen unprecedented growth in the popularity of social network systems, with Facebook being an archetypical example. The access control paradigm behind t...
HASE
2008
IEEE
14 years 3 months ago
2008
IEEE
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
ICASSP
2011
IEEE
13 years 10 days ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...