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ICIP
2008
IEEE
14 years 10 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
ICPR
2010
IEEE
13 years 6 months ago
A Recursive and Model-Constrained Region Splitting Algorithm for Cell Clump Decomposition
Decomposition of cells in clumps is a difficult segmentation task requiring region splitting techniques. Techniques that do not employ prior shape constraints usually fail to achi...
Wei Xiong, Sim Heng Ong, Joo-Hwee Lim
ICPR
2010
IEEE
14 years 3 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
VLSM
2005
Springer
14 years 2 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
ICANN
2007
Springer
14 years 2 months ago
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image proc...
George Caridakis, Christos Pateritsas, Athanasios ...