| I.5.2 Design Methodology | Article |
Online Handwritten Mathematical Expressions Recognition System Using Fussy ... |
Abstract: The paper is devoted to the development of the new online handwritten mathematical expressions
recognition system. The paper presents the recognition method to the handwritten symbols using |
| I.5.3 Clustering | Article |
PARTITION METRIC FOR CLUSTERING FEATURES ANALYSIS |
Abstract: A new distance function to compare arbitrary partitions is proposed. Clustering of image collections
and image segmentation give objects to be matched. Offered metric intends for combinatio |
| I.5.1 Models | Article |
PERFORMANCE OF COMPUTER-AIDED DIAGNOSIS TECHNIQUES IN INTERPRETATION OF ... |
Abstract: This study explores and compares predictive abilities of six types of neural networks used as tools for
computer-aided breast cancer diagnosis, namely, multilayer perceptron, cascade-correl |
| I.5.1 Models | Article |
POLLEN GRAINS RECOGNITION USING STRUCTURAL APPROACH AND NEURAL NETWORKS |
Abstract: This paper describes the problem of automated pollen grains image recognition using images
from microscope. This problem is relevant because it allows to automate a complex process of polle |
| I.5.1 Models | Article |
PROCESSING SETS OF CLASSES’ LOGICAL REGULARITIES |
Abstract: The paper considers two methods for processing sets of logical regularities of classes (LRC)
found by training samples analysis. The first approach is based on the minimization of logical
|
| I.5.2 Design Methodology | Article |
PRODUCT QUALITY ANALYSIS USING SUPPORT VECTOR MACHINES |
Abstract: This paper presents an exploratory study of the effectiveness of support vector machines in the
prediction of a product quality based on its characteristics. The study answers the following |
| I.5.2 Design Methodology | Article |
RECOGNITION ON FINITE SET OF EVENTS: BAYESIAN ANALYSIS ... |
Abstract: The problem of recognition on finite set of events is considered. The generalization ability of classifiers
for this problem is studied within the Bayesian approach. The method for non-unif |
| I.5.1 Models | Article |
RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED... |
Abstract: Number of The grouping information problem in its two basic manifestations recovering function,
represented by empirical data (observations) and problem of classification (clusterization) a |
| I.5.1 Models | Article |
SELF-MODIFICATED PREDICATE NETWORKS |
Abstract: A model of self-modificated predicate network with cells implementing predicate formulas in
the form of elementary conjunction is suggested. Unlike a classical neuron network the proposed m |
| I.5.0 General | Article |
SOFTWARE SYSTEM FOR SOLVING SYNTHESIS PROBLEM "SYNTHESIS 1.0" |
Abstract: The software system for solving previously introduced synthesis task in pattern recognition theory is
described. The algorithms used in the system are based on theoretical results described |
| I.5.1 Models | Article |
SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES EUCLIDEAN SPACES: ... |
Abstract: In the paper the development of operating technique for matrices Euclidean spaces is represented.
Particularly, within such development transfer of linear operators’ technique with preser |
| I.5 PATTERN RECOGNITION | Article |
STANDARDIZATION OF GEOMETRICAL CHARACTERISTICS IN GESTURE RECOGNITION |
Abstract: This paper covers approach to obtaining geometrical characteristics, in particular defects, for gesture
shown in front of web camera. Variant of standardization of defect`s structure is su |
| I.5.1 Models | Article |
STRUCTURAL MODEL OF HALFTONE IMAGE AND IMAGE SEGMENTATION EXPERIMENTS |
Abstract: The structural model of gray-scale picture is offered. The structural model supposes the selection of objects in the image, thus their description is invariant in relation to affine transfor |
| I.5.2 Design Methodology | Article |
SUPPORT VECTOR MACHINES FOR CLASSIFICATION OF MALIGNANT AND BENIGN LESIONS |
Abstract: This paper presents an exploratory study of the effectiveness of support vector machines used as a tool for computer-aided breast cancer diagnosis. We explore the discriminatory power of het |
| I.5.1 Models | Article |
SYNTHESIS OF CORRECTOR FAMILY WITH HIGH RECOGNITION ABILITY* |
Abstract: The model of recognizing procedures based on construction of family of logic correctors is proposed.
For these purposes the genetic approach is used. This method allows, firstly, to reduce |
| I.5 PATTERN RECOGNITION | Article |
SYNTHESIS OF STRUCTURED MODELS OF COMPUTER SYSTEMS IN MEDICAL DIAGNOSIS |
Abstract: Method for structural identification of objects of diagnosis in design of computer systems to support
decision-making in medicine at all stages of information transfer is developed. This ta |
| I.5 PATTERN RECOGNITION | Article |
SYNTHESIS OF STRUCTURED MODELS OF COMPUTER SYSTEMS ... |
Abstract: Method for structural identification of objects of diagnosis in design of computer systems to support
decision-making in medicine at all stages of information transfer is developed. This ta |
| I.5 PATTERN RECOGNITION | Article |
THE ALGORITHM BASED ON METRIC REGULARITIES |
Abstract: The new pattern recognition method is represented that is based on collective solutions by systems of metric regularities. Unlike previous methods based on voting by regularities discussed |
| I.5.1 Models | Article |
THE INVERSE MASLOV METHOD AND ANT TACTICS FOR EXHAUSTIVE SEARCH DECREASING |
Abstract: Algorithms for soling artificial intelligence problems allowing to formalize by means of predicate
language are presented in the paper. These algorithms use the modified Maslov’s inverse |
| I.5.1 Models | Article |
THE INVERSE METHOD FOR SOLVING ARTIFICIAL INTELLIGENCE PROBLEMS IN ... |
Abstract: The paper is devoted to the modifying of Maslov inverse method for a special form of predicate
formulas used in the solution of artificial intelligence problems. An algorithm of the inverse |
| I.5.1 Models | Article |
THE USAGE OF NEURAL NETWORKS FOR THE MEDICAL DIAGNOSIS |
Abstract: The problem of cancer diagnosis from multi-channel images using the neural networks is investigated.
The goal of this work is to classify the different tissue types which are used to determ |
| I.5.4 Applications | Article |
TOWARDS A SEMANTIC CATALOG OF SIMILARITY MEASURES |
Abstract: The tasks that encloses the Semantic Web often requires semantic comparisons between classes,
properties, relations and instances, that mainly consist in semantic similarity. As a consequen |
| I.5.4 Applications | Article |
TRAINING A LINEAR NEURAL NETWORK WITH A STABLE LSP SOLUTION FOR JAMMING ... |
Abstract: Two jamming cancellation algorithms are developed based on a stable solution of least squares
problem (LSP) provided by regularization. They are based on filtered singular value decompositi |
| I.5 PATTERN RECOGNITION | Article |
TWO APPROACHES TO ONE OPTIMIZATION PROBLEM IN RECOGNITION THEORY |
Abstract: In recognition theory a number of optimization problems appear. The search for the maximum solvable subsystem of the system of linear inequalities is one of these tasks. In this paper two ap |
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