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» Graph model selection using maximum likelihood
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TIP
2008
103views more  TIP 2008»
13 years 8 months ago
Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions
Abstract--This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar...
Florent Chatelain, Jean-Yves Tourneret, Jordi Ingl...
ICML
2004
IEEE
14 years 9 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
ISBI
2006
IEEE
14 years 9 months ago
A statistical appearance model based on intensity quantile histograms
We present a novel histogram method for statistically characterizing the appearance of deformable models. In deformable model segmentation, appearance models measure the likelihoo...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
JAIR
2002
129views more  JAIR 2002»
13 years 8 months ago
A Unified Model of Structural Organization in Language and Music
Is there a general model that can predict the perceived phrase structure in language and music? While it is usually assumed that humans have separate faculties for language and mu...
Rens Bod
WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
14 years 3 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...