17 search results - page 2 / 4 » Exponential families and simplification of mixture models |
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
ICASSP
2010
IEEE
13 years 5 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 8 months ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...