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» A statistical framework for DTI segmentation
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SCALESPACE
2009
Springer
15 years 6 months ago
Optimization of Divergences within the Exponential Family for Image Segmentation
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
François Lecellier, Stéphanie Jehan-...
ECCV
2004
Springer
15 years 5 months ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan
DAGM
1998
Springer
15 years 4 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ACL
2006
15 years 1 months ago
A Collaborative Framework for Collecting Thai Unknown Words from the Web
We propose a collaborative framework for collecting Thai unknown words found on Web pages over the Internet. Our main goal is to design and construct a Webbased system which allow...
Choochart Haruechaiyasak, Chatchawal Sangkeettraka...
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...