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NIPS
2007
14 years 11 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»
14 years 10 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
15 years 3 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
75
Voted
BMCBI
2010
101views more  BMCBI 2010»
14 years 10 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
83
Voted
IJCV
2006
205views more  IJCV 2006»
14 years 10 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...