PP
P. Paclik
44 records found
1
Authored
In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers from class overlap. We propose a novel approach for describing clouds of points based on support vector data de
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In this paper we present an application of statistical pattern recognition for segmentation of backscatter images (BSE) in product analysis of laundry detergents. Currently, application experts segment BSE images interactively which is both time consuming and expert dependent. We
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Usually, objects to be classified are represented by features. In this paper, we discuss an
alternative object representation based on dissimilarity values. If such distances separate
the classes well, the nearest neighbor method offers a good solution. However, dissimilarities
u
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Feature selection is an important tool reducing necessary feature acquisition time in some applications. Standard methods, proposed in the literature, do not cope with the measurement cost issue. Including the measurement cost into the feature selection process is difficult when
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