922 search results - page 22 / 185 » Learning Gaussian Process Models from Uncertain Data |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
ICASSP
2011
IEEE
12 years 11 months 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...
QUACON
2009
Springer
14 years 1 months ago
2009
Springer
Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identi cation of quality measures and (2) the use of uncertain reasoning tec...
AAAI
2011
12 years 7 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...
BMCBI
2011
12 years 11 months ago
2011
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...