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» An Adaptive Supersampling Method
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IJAR
2002
98views more  IJAR 2002»
15 years 3 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
112
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IJON
2002
98views more  IJON 2002»
15 years 3 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
126
Voted
ISAMI
2010
15 years 1 months ago
Adaptive Experience Sampling: Addressing the Dynamic Nature of In-Situ User Studies
Experience sampling techniques can be used to study user experiences with products in a natural setting and over time. Nowadays, researchers can use selective sampling to link the ...
Martijn H. Vastenburg, Natalia Romero Herrera
ECCV
2006
Springer
16 years 5 months ago
Face Authentication Using Adapted Local Binary Pattern Histograms
In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as ...
Sébastien Marcel, Yann Rodriguez
120
Voted
ICIP
2008
IEEE
16 years 5 months ago
Fast adaptive elliptical filtering using box splines
We demonstrate that it is possible to filter an image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method inv...
Arrate Muñoz-Barrutia, Kunal Narayan Chaudh...