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ICDAR
2009
IEEE
15 years 2 months ago
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
Ahmad Abdulkader, Mathew R. Casey
ICIP
2007
IEEE
15 years 10 months ago
Outer-Layer Based Tracking using Entropy as a Similarity Measure
Tracking can be achieved using region active contours based on homogeneity models (intensity, motion...). However the model complexity necessary to achieve a given accuracy might ...
Vincent Garcia, Sylvain Boltz, Eric Debreuve, Mich...
SMA
2010
ACM
200views Solid Modeling» more  SMA 2010»
14 years 11 months ago
Influence functions of the Spearman and Kendall correlation measures
Abstract Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of bei...
Christophe Croux, Catherine Dehon
ICASSP
2011
IEEE
14 years 8 months ago
Spectral magnitude minimum mean-square error binary masks for DFT based speech enhancement
Originally, ideal binary mask (idbm) techniques have been used as a tool for studying aspects of the auditory system. More recently, idbm techniques have been adapted to the pract...
Jesper Jensen, Richard C. Hendriks
ICASSP
2011
IEEE
14 years 8 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