695 search results - page 12 / 139 » Mixture model based contextual image retrieval |
128
click to vote
CAIP
2007
Springer
15 years 5 months ago
2007
Springer
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
BMEI
2009
IEEE
15 years 11 days ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
103
click to vote
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
ICRA
2008
IEEE
15 years 5 months ago
2008
IEEE
— In this paper we present a novel approach to robust visual servoing. This method removes the feature tracking step from a typical visual servoing algorithm. We do not need corr...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...