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TCS
2010
13 years 6 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
ICDAR
2011
IEEE
12 years 7 months ago
Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators
—A vast number of historical and badly degraded document images can be found in libraries, public, and national archives. Due to the complex nature of different artifacts, such p...
T. Hoang Ngan Le, Tien D. Bui, Ching Y. Suen
ICPR
2000
IEEE
14 years 8 months ago
Reduction of Bias in Maximum Likelihood Ellipse Fitting
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
Bogdan Matei, Peter Meer
ICPR
2006
IEEE
14 years 8 months ago
Domain Based LDA and QDA
We propose an alternative to probability density classifiers based on normal distributions LDA and QDA. Instead of estimating covariance matrices using the standard maximum likeli...
David M. J. Tax, Piotr Juszczak, Robert P. W. Duin...
EMMCVPR
1997
Springer
13 years 11 months ago
Genetic Algorithms for Ambiguous Labelling Problems
Consistent labelling problems frequently have more than one solution. Most work in the "eld has aimed at disambiguating early in the interpretation process, using only local ...
Richard Myers, Edwin R. Hancock