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» Algorithmic Complexity Bounds on Future Prediction Errors
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PSIVT
2009
Springer
116views Multimedia» more  PSIVT 2009»
15 years 4 months ago
Video Coding Using Spatially Varying Transform
In this paper, we propose a novel algorithm, named as Spatially Varying Transform (SVT). The basic idea of SVT is that we do not restrict the transform coding inside normal block b...
Cixun Zhang, Kemal Ugur, Jani Lainema, Moncef Gabb...
ICRA
2008
IEEE
145views Robotics» more  ICRA 2008»
15 years 3 months ago
Prediction of heartbeat motion with a generalized adaptive filter
— In order to perform coronary artery bypass graft surgery, a stationary heart is necessary. A human cannot achieve manual tracking of the complex heartbeat motion. Robotics tech...
Timothy J. Franke, Ozkan Bebek, Murat Cenk Cavusog...
COLT
2000
Springer
15 years 1 months ago
Bias-Variance Error Bounds for Temporal Difference Updates
We give the first rigorous upper bounds on the error of temporal difference (td) algorithms for policy evaluation as a function of the amount of experience. These upper bounds pr...
Michael J. Kearns, Satinder P. Singh
ICIP
2001
IEEE
15 years 11 months ago
N-dimensional zonal algorithms. The future of block based motion estimation?
The popularity of zonal based algorithms for block based motion estimation has been recently increasing due to their superior performance in both terms of reduced complexity and s...
Alexis M. Tourapis, Hye-Yeon Cheong, Ming L. Liou,...
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario