Gabriela Andrejková

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Pattern matching problem is still very interesting and important problem. Algorithms for the exact pattern matching search for exact patterns in some texts or figures. Algorithms for an approximate pattern matching search for exact and similar patterns with some errors. They use some measures to evaluate a similarity of found similar patterns. In the area(More)
In the paper, there are analyzed and compared results of usable methods for a document verification based on n-grams and on local histograms build for its words for English and Arabic language. English and Arabic texts were analyzed from many statistical characteristics point of view. There were discovered some statistical differences between both languages(More)
Graphs as data structures are used in many applications, for example image analysis, scene description, natural language processing. The paper deals with Acyclic Graph Data Structures (AGDS) and with a learning process in a model of a Self-Organizing Map (SOM) that has been modified for processing of AGDS. To the modified SOM Neural Network (SOM NN), there(More)
Localization of a 2-ms click target was previously shown to be influenced by a preceding identical distractor for inter-click-intervals up to 400 ms [Kopčo, Best, and Shinn-Cunningham (2007). J. Acoust. Soc. Am. 121, 420-432]. Here, two experiments examined whether perceptual organization plays a role in this effect. In the experiments, the distractor was(More)
In this paper we describe a new model suitable for optimization problems with explicitly unknown optimization functions using user’s preferences. The model addresses an ability to learn not known optimization functions thus perform also a learning of user’s preferences. The model consists of neural networks using fuzzy membership functions and interactive(More)