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» A Global Maximum Likelihood Super-Quartet Phylogeny Method
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CVPR
2008
IEEE
14 years 9 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
ICIP
2004
IEEE
14 years 9 months ago
Least-squares interband denoising of color and multispectral images
This paper exploits the interband correlations of color and multispectral images for wavelet-based denoising. For this, a multispectral extension of the linear minimum mean square...
Paul Scheunders, Jef Driesen
APBC
2004
132views Bioinformatics» more  APBC 2004»
13 years 9 months ago
Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...
ICIP
2001
IEEE
14 years 9 months ago
Multibit digital watermarking robust against local nonlinear geometrical distortions
This paper presents an efficient method for the estimation and recovering from nonlinear or local geometrical distortions, such as the random bending attack and restricted project...
Frédéric Deguillaume, Sviatoslav Vol...
NIPS
2007
13 years 9 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland