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» Adaptive Kernel Methods Using the Balancing Principle
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ICASSP
2010
IEEE
13 years 7 months ago
Fixed-budget kernel recursive least-squares
We present a kernel-based recursive least-squares (KRLS) algorithm on a fixed memory budget, capable of recursively learning a nonlinear mapping and tracking changes over time. I...
Steven Van Vaerenbergh, Ignacio Santamaría,...
ATAL
2006
Springer
13 years 11 months ago
A novel method for automatic strategy acquisition in N-player non-zero-sum games
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Steve Phelps, Marek Marcinkiewicz, Simon Parsons
CVPR
2007
IEEE
14 years 9 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz
ADBIS
2005
Springer
120views Database» more  ADBIS 2005»
14 years 1 months ago
Extensible Canonical Process Model Synthesis Applying Formal Interpretation
The current period of IT development is characterized by an explosive growth of diverse information representation languages. Applying integration and composition of heterogeneous ...
Leonid A. Kalinichenko, Sergey A. Stupnikov, Nikol...
ICIAR
2005
Springer
14 years 1 months ago
Soft-Switching Adaptive Technique of Impulsive Noise Removal in Color Images
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which ...
Bogdan Smolka, Konstantinos N. Plataniotis