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» Parametric interpolation using sampled data
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ISBI
2009
IEEE
14 years 2 months ago
3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data
Various cortical measures such as cortical thickness are routinely computed along the vertices of cortical surface meshes. These metrics are used in surface-based morphometric stu...
Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
ESANN
2006
13 years 8 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
VCIP
2000
146views Communications» more  VCIP 2000»
13 years 8 months ago
Novel video coding scheme using adaptive mesh-based interpolation and node tracking
An alternative method to H.263 for encoding of moving images at bit rates below 64 kbit/s is presented using adaptive spatial subsampling, mesh based interpolation and node tracki...
Eckhart Baum, Joachim Speidel
DRR
2009
13 years 5 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
JGS
2006
154views more  JGS 2006»
13 years 7 months ago
Area-to-point Kriging with inequality-type data
In practical applications of area-to-point spatial interpolation, inequality constraints, such as non-negativity, or more general constraints on the maximum and/or minimum allowab...
E.-H. Yoo, Phaedon C. Kyriakidis