Іздеу

Шығарылым
Атауы
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Том 24, № 4 (2023)
Interpreting and processing side-scan sonar data with the objective of further automation
Goncharov A., Goncharova E.
PDF
(Rus) PDF
(Eng)
Том 17, № 1 (2016)
MULTI-OBJECTIVE BASED FEATURE SELECTION AND NEURAL NETWORKS ENSEMBLE METHOD FOR SOLVING EMOTION RECOGNITION PROBLEM
Ivanov I.
Том 14, № 4 (2013)
EMOTION RECOGNITION AND SPEAKER IDENTIFICATION FROM SPEECH
Sidorov M., Zablotskiy S., Minker W., Semenkin E.
PDF
(Rus)
Том 11, № 3 (2010)
Image enhancement for face recognition system
Pakhirka A.
PDF
(Rus)
Том 11, № 2 (2010)
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.
PDF
(Rus)
Том 15, № 3 (2014)
Assessment of stability learning algorithms large artificial neural networks of biometric application
Kachalin S.
PDF
(Rus)
Том 16, № 1 (2015)
ROBUST AND RELIABLE TECHNIQUES FOR SPEECH-BASED EMOTION RECOGNITION
Brester C., Semenkina O., Sidorov M., Brester K., Semenkina O., Sidorov M.
PDF
(Rus)
Том 10, № 3 (2009)
MATHCAD software usage for diagnosticating aerotechnicson the method of theorem of hypotheses
Lukasov V., Nikushkin N.
PDF
(Rus)
Том 11, № 5 (2010)
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.
PDF
(Rus)
Том 15, № 5 (2014)
The selection of logical patterns for constructing a decision rule of recognition
Antamoshkin A., Masich I.
PDF
(Rus)
Том 10, № 1-1 (2009)
The dynamic patterns recognition based on predicating filters
Favorskaya M.
PDF
(Rus)
Том 10, № 2 (2009)
HYBRID ALGORITHM OF PATTERN RECOGNITION AND ITS PROPER TIES
Lapko A., Lapko V., Sarenkov A.
PDF
(Rus)
Том 15, № 3 (2014)
Speech-based emotion recognition of the distant student with adaptive intellectual information technologies
Brester C., Vishnevskaya S., Semenkina O.
PDF
(Rus)
Том 10, № 3 (2009)
Usage of hierarchical neural networks for multiple vision scenes recognition
Engel E., Zav'yalova O.
PDF
(Rus)
Том 14, № 4 (2013)
ON THE CONCEALMENT OF TRANSMISSION ERRORS FOR DISTRIBUTED SPEECH RECOGNITION SYSTEMS
Zaykovskiy D.
PDF
(Rus)
Том 13, № 4 (2012)
ABOUT MULTIAGENT SYSTEM APPLICATIONS FOR SPEECH RECOGNITION PROBLEM
Ryzhikov I.
PDF
(Rus)
Том 17, № 1 (2016)
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.
Том 11, № 7 (2010)
THE APPLICATION OF IMAGE ENHANCEMENT METHOD FOR FACE RECOGNITION SYSTEMS
Pakhirka A.
PDF
(Rus)
Том 16, № 4 (2015)
MULTI-OBJECTIVE APPROACH FOR DESIGNING ENSEMBLE OF NEURAL NETWORK CLASSIFIERS WITH FEATURE SELECTION FOR EMOTION RECOGNITION PROBLEM
Ivanov I., Sopov E., Panfilov I.
Том 14, № 2 (2013)
ON NONPARAMETRIC DIAGNOSIS AND CONTROL OF THE PROCESS OF ELECTRONICS MANUFACTURE
Orlov V., Sergeyeva N.
PDF
(Rus)
Том 12, № 3 (2011)
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.
PDF
(Rus)
Том 12, № 4 (2011)
COMPARISON OF NONPARAMETRIC TESTING CRITERIA OF HYPOTHESIS OF DISTRIBUTION OF RANDOM VARIABLES
Lapko A., Lapko V.
PDF
(Rus)
Том 15, № 3 (2014)
A real-time algorithm for human’s hand gesture recognition on video-sequence for human-computer interaction interfaces
Chudnovsky M.
PDF
(Rus)
Том 17, № 2 (2016)
COMBINING CLUSTERING AND CLASSIFICATION APPROACHES FOR SPEECH-BASED EMOTION RECOGNITION PROBLEM
Polyakova A., Sidorov M., Semenkin E.
Том 10, № 4 (2009)
GRAPHIC INFORMATION PROCESSING USING INTELLIGENT ALGORITHMS
Engel E.
PDF
(Rus)
Том 12, № 2 (2011)
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.
PDF
(Rus)
Том 15, № 2 (2014)
Algorithm of hand gesture recognition based on skeleton model of hand
Nosov A.
PDF
(Rus)
Том 17, № 4 (2016)
ABOUT THE METHODS FOR SELECTION INFORMATIVE FEATURES USING SELF-ADJUSTING NEURAL NETWORK CLASSIFIERS AND THEIR ENSEMBLES
Loseva E., Sergienko R.
Нәтижелер 28 - 1/28
Сыбырсөздер:
  • Негізгі сөздер тіркелімге сезімтал< / li>
  • Ағылшын предлогтары мен одақтары еленбейді
  • Әдепкі бойынша іздеу барлық негізгі сөздер үшін жасалады (агенс AND экспериенцер)
  • Белгілі бір терминді табу үшін OR қолданыңыз. білім беру OR оқыту
  • мысалы, күрделі сөз тіркестерін жасау үшін жақшаларды қолданыңыз. мұрағат ((журналдар OR конференциялар) NOT диссертациялар)
  • Нақты фразаны табу үшін, мысалы, тырнақшаларды қолданыңыз. "ғылыми зерттеулер"
  • сөзді - (сызықша) немесе not операторының көмегімен алып тастаңыз; мысалы. сұлулық байқауы< / em > немесе сұлулық байқауы< / em > < / li>
  • мысалы, нұсқа ретінде * қолданыңыз. ғылым* "ғылыми","ғылыми"және т. б. сөздерді қамтиды< / li> < / < / к-сі>

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