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ICPR
2006
IEEE
14 years 10 months ago
Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning
Typical gene expression clustering algorithms are restricted to a specific underlying pattern model while overlooking the possibility that other information carrying patterns may ...
Rave Harpaz, Robert M. Haralick
ICPR
2006
IEEE
14 years 10 months ago
Evaluating Hierarchical Graph-based Segmentation
Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do...
Yll Haxhimusa, Adrian Ion, Walter G. Kropatsch
ICPR
2006
IEEE
14 years 10 months ago
Identification of degraded traffic sign symbols by a generative learning method
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
Hiroshi Murase, Hiroyuki Ishida, Ichiro Ide, Tomok...
ICPR
2006
IEEE
14 years 10 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...
ICPR
2006
IEEE
14 years 10 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...