This talk at Fradkin conference is devoted to brief description of latest results in two topics I worked on during last years. The multiresolution analysis and fast wavelet transform became a standard procedure for pattern recognition and I describe how it has been used for analysis of high energy nucleus-nucleus interactions 1. Latest QCD results on multiplicities in quark and gluon jets are d...

There are many studies on the biomechanics of the long jump, but few researchers have investigated how the athlete has to perform the last strides in order to prepare for takeoff. In this investigation, a pattern recognition approach was applied to analyze the movement structure during the last strides of the approach run and the jump. Time-continuous kinematic data of 57 trials (4.45–6.84 m) w...

The aim of this paper is to introduce a new methodology for micro-pattern analysis in digital images. The gray-level pixels’ structure in an image neighborhood describes a spatial specific context. Edge, line, spot, blob, corner or texture can be described by this structure. The gray-level values of the image pixel are interpreted as a fuzzy set, and each pixel gray-level as a fuzzy number. A m...

This study aims to delve into the unobservable dimensions of deciding and acting in a pragmatically significant speech event. Utilizing a Discourse Completion Test questionnaire, it seeks to find out the structure and pragmatic functions that lie behind EFL learners’ choice of specific wording while engaged in performing a recurrent speech act in Iran i.e. compliments. To this aim, 30 EFL learn...

In this paper we develop a correlation method for the template matching problem in pattern recognition which includes translations, rotations, and dilations in a natural way. The correlation method is implemented using Fourier analysis on the “discrete motion group” and fast Fourier transform methods. A brief introduction to Fourier methods on the discrete motion group is given and the efficien...

Theoretical and practical aspects of classification systems and classification learning are considered. Analysis of subject area learning sets and analysis of classification schemes raises a number of nonstandard questions, such as relations between categorization/metadata and logic-combinatorial structuring/clustering of the descriptive part of the input table. Several such questions are treat...

In the real world problems various pattern recognition technologies process huge amount of pattern to discover relevant knowledge. These techniques are computationally expensive. Additional knowledge also known as domain or background knowledge can help us in reducing the search as well as to optimize the hypotheses by decreasing the size of the search area. In the present paper we discuss the ...

The analysis of patterns in graphs has applications in many fields of science. We propose a new method for analyzing graph patterns consisting of a user-friendly and flexible mechanism to specify patterns, an algorithm to recognize multiple appearances of patterns in a target graph, a pattern preserving layout algorithm, and a navigation technique to explore the underlying structure of the grap...

We present a synthesis technique that can automatically generate stroke patterns based on a user-specified reference pattern. Our method is an extension of texture synthesis techniques to vector-based patterns. Such an extension requires (a) an analysis of the pattern properties to extract meaningful pattern elements (defined as clusters of strokes) and (b) a synthesis algorithm based on simila...

We present a synthesis technique that can automatically generate stroke patterns based on a user-specified reference pattern. Our method is an extension of texture synthesis techniques to vector-based patterns. Such an extension requires (a) an analysis of the pattern properties to extract meaningful pattern elements (defined as clusters of strokes) and (b) a synthesis algorithm based on simila...