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» Unsupervised Texture Segmentation
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ICPR
2010
IEEE
13 years 9 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
ICIAR
2011
Springer
12 years 11 months ago
A Texture-Based Probabilistic Approach for Lung Nodule Segmentation
Producing consistent segmentations of lung nodules in CT scans is a persistent problem of image processing algorithms. Many hard-segmentation approaches are proposed in the literat...
Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, D...
ICASSP
2011
IEEE
12 years 11 months ago
A segmentation method for textured images based on the maximum posterior mode criterion
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with r...
Frédéric Lehmann
ACL
2006
13 years 9 months ago
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-pa...
Matthew Purver, Konrad P. Körding, Thomas L. ...
ECCV
2006
Springer
13 years 11 months ago
Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets
Abstract. We present a new algorithm for segmenting a scene consisting of multiple moving dynamic textures. We model the spatial statistics of a dynamic texture with a set of secon...
Atiyeh Ghoreyshi, René Vidal