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NIPS
2007
13 years 9 months ago
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
JMIV
2007
145views more  JMIV 2007»
13 years 7 months ago
Level Lines Selection with Variational Models for Segmentation and Encoding
Abstract. This paper discusses the interest of the Tree of Shapes of an image as a region oriented image representation. The Tree of Shapes offers a compact and structured represen...
Coloma Ballester, Vicent Caselles, Laura Igual, Ll...
VISUALIZATION
2003
IEEE
14 years 1 months ago
Fairing scalar fields by variational modeling of contours
Volume rendering and isosurface extraction from three-dimensional scalar fields are mostly based on piecewise trilinear representations. In regions of high geometric complexity s...
Martin Bertram
BMCBI
2010
101views more  BMCBI 2010»
13 years 8 months ago
Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
Background: Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variat...
Zhengdong D. Zhang, Mark B. Gerstein
IJCV
2006
205views more  IJCV 2006»
13 years 7 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...