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» Image denoising using mixtures of Gaussian scale mixtures
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ICPR
2006
IEEE
14 years 8 months ago
Gaussian mixture pdf in one-class classification: computing and utilizing confidence values
In this study a confidence measure for probability density functions (pdfs) is presented. The measure can be used in one-class classification to select a pdf threshold for class i...
Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kamara...
CVPR
2000
IEEE
14 years 9 months ago
Mixture Models and the Segmentation of Multimodal Textures
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
Roberto Manduchi
ICPR
2002
IEEE
14 years 8 months ago
Visual Abstraction of Wildlife Footage Using Gaussian Mixture Models and the Minimum Description Length Criterion
bstraction of Wildlife Footage using Gaussian Mixture Models and the Minimum Description Length Criterion David Gibson Neill Campbell Barry Thomas Department of Computer Science Un...
David P. Gibson, Neill W. Campbell, Barry T. Thoma...
ICASSP
2010
IEEE
13 years 7 months ago
Hierarchical Gaussian Mixture Model
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 ...
Vincent Garcia, Frank Nielsen, Richard Nock
ACCV
2009
Springer
14 years 2 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock