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Interpreting and processing side-scan sonar data with the objective of further automation
Goncharov A., Goncharova E.
MULTI-OBJECTIVE BASED FEATURE SELECTION AND NEURAL NETWORKS ENSEMBLE METHOD FOR SOLVING EMOTION RECOGNITION PROBLEM
Ivanov I.
EMOTION RECOGNITION AND SPEAKER IDENTIFICATION FROM SPEECH
Sidorov M., Zablotskiy S., Minker W., Semenkin E.
Image enhancement for face recognition system
Pakhirka A.
PROPERTIES OF A NONPARAMETRIC ESTIMATION OF THE EQUATIONOF A SEPARATING SURFACE IN THE PATTERN RECOGNITION TASKAT CASUAL VALUES OF FUZZINESS COEFFICIENTS OF KERNEL FUNCTIONS
Lapko A., Lapko V., Lapko A., Lapko V.
Assessment of stability learning algorithms large artificial neural networks of biometric application
Kachalin S.
ROBUST AND RELIABLE TECHNIQUES FOR SPEECH-BASED EMOTION RECOGNITION
Brester C., Semenkina O., Sidorov M., Brester K., Semenkina O., Sidorov M.
MATHCAD software usage for diagnosticating aerotechnicson the method of theorem of hypotheses
Lukasov V., Nikushkin N.
FUNCTIONS OF RIVAL SIMILARITY IN ALGORITHMS OF RECOGNITION OF COMBINED TYPE
Zagoruyko N., Borisova I., Dyubanov V., Kutnenko O., Zagoruiko N., Borisova I., Dyubanov V., Kutnenko O.
The selection of logical patterns for constructing a decision rule of recognition
Antamoshkin A., Masich I.
The dynamic patterns recognition based on predicating filters
Favorskaya M.
HYBRID ALGORITHM OF PATTERN RECOGNITION AND ITS PROPER TIES
Lapko A., Lapko V., Sarenkov A.
Speech-based emotion recognition of the distant student with adaptive intellectual information technologies
Brester C., Vishnevskaya S., Semenkina O.
Usage of hierarchical neural networks for multiple vision scenes recognition
Engel E., Zav'yalova O.
ON THE CONCEALMENT OF TRANSMISSION ERRORS FOR DISTRIBUTED SPEECH RECOGNITION SYSTEMS
Zaykovskiy D.
ABOUT MULTIAGENT SYSTEM APPLICATIONS FOR SPEECH RECOGNITION PROBLEM
Ryzhikov I.
MULTI-OBJECTIVE GENETIC ALGORITHMS AS AN EFFECTIVE TOOL FOR FEATURE SELECTION IN THE SPEECH-BASED EMOTION RECOGNITION PROBLEM
Brester C., Semenkina O., Ulm University M.
THE APPLICATION OF IMAGE ENHANCEMENT METHOD FOR FACE RECOGNITION SYSTEMS
Pakhirka A.
MULTI-OBJECTIVE APPROACH FOR DESIGNING ENSEMBLE OF NEURAL NETWORK CLASSIFIERS WITH FEATURE SELECTION FOR EMOTION RECOGNITION PROBLEM
Ivanov I., Sopov E., Panfilov I.
ON NONPARAMETRIC DIAGNOSIS AND CONTROL OF THE PROCESS OF ELECTRONICS MANUFACTURE
Orlov V., Sergeyeva N.
COEVOLUTIONARY ASYMPTOTIC GENETIC ALGORITHM FOR SYLLABLE MODELBASED IDENTIFICATION OF SENTENCES IN AUTOMATIC RECOGNITIONOF CONTINUOUS SPEECH
Zablotskiy S., Semenkin E., Shvets A., Zablotskiy S., Semenkin E., Shvets A.
COMPARISON OF NONPARAMETRIC TESTING CRITERIA OF HYPOTHESIS OF DISTRIBUTION OF RANDOM VARIABLES
Lapko A., Lapko V.
A real-time algorithm for human’s hand gesture recognition on video-sequence for human-computer interaction interfaces
Chudnovsky M.
COMBINING CLUSTERING AND CLASSIFICATION APPROACHES FOR SPEECH-BASED EMOTION RECOGNITION PROBLEM
Polyakova A., Sidorov M., Semenkin E.
GRAPHIC INFORMATION PROCESSING USING INTELLIGENT ALGORITHMS
Engel E.
Nonparametric qualifierand Kolmogorovs criterion in the task of matching of empirical and theoretical cumulativedistribution functions of an one-dimensional random variable
Lapko A., Lapko V., Strukov I., Gusarov A., Lapko A., Lapko V., Strukov I., Gusarov A.
Algorithm of hand gesture recognition based on skeleton model of hand
Nosov A.
ABOUT THE METHODS FOR SELECTION INFORMATIVE FEATURES USING SELF-ADJUSTING NEURAL NETWORK CLASSIFIERS AND THEIR ENSEMBLES
Loseva E., Sergienko R.
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