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» Resampling methods for input modeling
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CVPR
2008
IEEE
16 years 5 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...
LREC
2008
146views Education» more  LREC 2008»
15 years 4 months ago
A Contextual Dynamic Network Model for WSD Using Associative Concept Dictionary
Many of the Japanese ideographs (Chinese characters) have a few meanings. Such ambiguities should be identified by using their contextual information. For example, we have an ideo...
Jun Okamoto, Kiyoko Uchiyama, Shun Ishizaki
APBC
2004
166views Bioinformatics» more  APBC 2004»
15 years 4 months ago
THEMATICS is Effective for Active Site Prediction in Comparative Model Structures
THEMATICS (Theoretical Microscopic Titration Curves) is a simple, reliable computational predictor of the active sites of enzymes from structure. Our method, based on well-establi...
Ihsan A. Shehadi, Alper Uzun, Leonel F. Murga, Val...
SOFTVIS
2005
ACM
15 years 8 months ago
Exploiting UML dynamic object modeling for the visualization of C++ programs
In this paper we present an approach to modeling and visualizing the dynamic interactions among objects in a C++ application. We exploit UML diagrams to expressively visualize bot...
Brian A. Malloy, James F. Power
ICIP
2010
IEEE
15 years 17 days ago
A view-dependent adaptivity metric for real time mesh tessellation
Real-time tessellation methods offer the ability to upsample 3D surface meshes on the fly during rendering. This upsampling relies on 3 major steps. First, it requires a tessellat...
Tamy Boubekeur