468 search results - page 9 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...