138 search results - page 7 / 28 » The Gaussian Process Density Sampler |
152
Voted
ICIP
2009
IEEE
15 years 15 days ago
2009
IEEE
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
137
Voted
JCST
2010
15 years 1 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
157
Voted
ICIP
2007
IEEE
16 years 4 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
126
Voted
ICASSP
2010
IEEE
15 years 3 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 ...
156
Voted
TIP
2008
15 years 2 months ago
2008
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...