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» Variational Bayesian image modelling
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DAGM
2006
Springer
15 years 3 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
JMLR
2010
155views more  JMLR 2010»
14 years 6 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
SYNASC
2006
IEEE
121views Algorithms» more  SYNASC 2006»
15 years 5 months ago
Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach
This paper is devoted to a new variational model for color texture modeling and color image decomposition into cartoon and texture. A given image f in the RGB space is decomposed ...
Luminita A. Vese, Stanley Osher
IJCV
2006
82views more  IJCV 2006»
14 years 11 months ago
A Variational Model for P+XS Image Fusion
We propose an algorithm to increase the resolution of multispectral satellite images knowing the panchromatic image at high resolution and the spectral channels at lower resolutio...
Coloma Ballester, Vicent Caselles, Laura Igual, Jo...
JMLR
2010
136views more  JMLR 2010»
14 years 6 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...