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» A Geometric Functional for Derivatives Approximation
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ICASSP
2011
IEEE
14 years 4 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
129
Voted
ICML
2003
IEEE
15 years 6 months ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita
SIBGRAPI
2009
IEEE
15 years 7 months ago
Hermite Interpolation of Implicit Surfaces with Radial Basis Functions
—We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured p...
Ives Macedo, Joao Paulo Gois, Luiz Velho
104
Voted
ADC
2006
Springer
136views Database» more  ADC 2006»
15 years 6 months ago
A multi-step strategy for approximate similarity search in image databases
Many strategies for similarity search in image databases assume a metric and quadratic form-based similarity model where an optimal lower bounding distance function exists for fil...
Paul Wing Hing Kwan, Junbin Gao
119
Voted
MCS
2008
Springer
15 years 23 days ago
Approximation of matrix operators applied to multiple vectors
In this paper we propose a numerical method for approximating the product of a matrix function with multiple vectors by Krylov subspace methods combined with a QR decomposition of...
Marlis Hochbruck, Jörg Niehoff