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ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
16 years 1 months ago
Demosaicking using Vector Spectral Model
A new edge-sensing demosaicking solution based on a novel vector spectral model is introduced in this paper. Using the vector spectral model, the proposed solution preserves the m...
Rastislav Lukac, Konstantinos N. Plataniotis
IJCNN
2006
IEEE
16 years 1 months ago
Tristability in Model Neurons
— The tristability that a class of two-dimensional neuron models may exhibit is investigated in this paper. One proposition and three corollaries on saddles, which play an import...
Guang-Hong Wang, Ping Jiang
ESANN
2006
15 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
PRIS
2001
15 years 8 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques
VMV
2004
143views Visualization» more  VMV 2004»
15 years 8 months ago
Illustrating Magnetic Field Lines using a Discrete Particle Model
In this paper we demonstrate how a computational physics approach based on a discrete particle model can be employed for the visualization of magnetic field lines. This can be reg...
Thomas Klein, Thomas Ertl