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ICIP
2000
IEEE
14 years 10 months ago
Complete Parametrization of Piecewise Polynomial Interpolators According to Degree, Support, Regularity, and Order
The most essential ingredient of interpolation is its basis function. We have shown in previous papers that this basis need not be necessarily interpolating to achieve good result...
Michael Unser, Philippe Thévenaz, Thierry B...
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
14 years 2 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
ECCV
2006
Springer
14 years 10 months ago
Unsupervised Patch-Based Image Regularization and Representation
A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patc...
Charles Kervrann, Jérôme Boulanger
CGF
2007
156views more  CGF 2007»
13 years 8 months ago
Automatic Light Source Placement for Maximum Visual Information Recovery
The automatic selection of good viewing parameters is a very complex problem. In most cases, the notion of good strongly depends on the concrete application. Moreover, when an int...
Pere-Pau Vázquez
DSP
2008
13 years 8 months ago
Empirical Bayes linear regression with unknown model order
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Yngve Selén, Erik G. Larsson