Výsledky vyhľadávania - "nonparametric pattern recognition algorithm"

A Nonparametric Pattern Recognition Algorithm in the Problems of Analyzing the Data of Remote Sensing over Anthropogenic Territories

Autori: A. V. Lapko V. A. Lapko A. V. Sharueva

Zdroj: Optoelectronics, Instrumentation and Data Processing. 61:75-84

Application of a Nonparametric Pattern Recognition Algorithm to the Problem of Testing the Hypothesis of the Independence of Variables of Multi-Valued Functions

Autori: A. V. Lapko V. A. Lapko A. V. Bakhtina

Zdroj: Measurement Techniques. 65:17-23

Predmety: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

A method of sequentially generating a set of components of a multidimensional random variable using a nonparametric pattern recognition algorithm

Autori: I.V. Zenkov A.V. Lapko V.A. Lapko a ďalší

Zdroj: Компьютерная оптика, Vol 45, Iss 6, Pp 926-933 (2021)

Predmety: pattern recognition, information processing, optical data processing, hypothesis testing, forming a set of independent features, nonparametric pattern recognition algorithm, kernel probability density estimate, bandwidths selection of the kernel functions, remote sensing data, Information theory, Q350-390, Optics. Light, QC350-467

Popis súboru: electronic resource

Relation: https://computeroptics.ru/eng/KO/Annot/KO45-6/450617e.html; https://doaj.org/toc/0134-2452; https://doaj.org/toc/2412-6179

Prístupová URL adresa: https://doaj.org/article/4a692d4ee06b44a188b817172f7f94e7

Application of a nonparametric pattern recognition algorithm in the problem of testing the hypothesis about the independence of variables of ambiguous functions

Autori: Aleksandr V. Lapko Vasiliy A. Lapko Anna V. Bakhtina

Zdroj: Izmeritel`naya Tekhnika. :17-22

Predmety: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Formation of Sets of Independent Components of a Multidimensional Random Variable Based on a Nonparametric Pattern Recognition Algorithm

Autori: Aleksandr V. Lapko Vasiliy A. Lapko Anna V. Bakhtina

Zdroj: Measurement Techniques. 64:689-696

Predmety: 0103 physical sciences, 0101 mathematics, 01 natural sciences

NONPARAMETRIC PATTERN RECOGNITION ALGORITHM IN TESTING HYPOTHESES ABOUT THE IDENTITY OF THE LAWS OF MULTDIMENSIONAL RANDOM VARIABLES DISTRIBUTION UNDER LARGE VOLUME OF STATISTICAL DATA

Autori: A. V. Lapko V.A. Lapko

Zdroj: Informatika i sistemy upravleniya. :103-112

Nonparametric pattern recognition algorithm for testing a hypothesis of the independence of random variables

Autori: I.V. Zenkov A.V. Lapko V.A. Lapko a ďalší

Zdroj: Компьютерная оптика, Vol 45, Iss 5, Pp 767-772 (2021)

Predmety: testing a hypothesis of the independence of random variables, multidimensional random variables, pattern recognition, nonparametric probability density estimation, bandwidths of kernel functions, kolmogorov–smirnov criterion, spectral analysis of remote sensing data, Information theory, Q350-390, Optics. Light, QC350-467

Popis súboru: electronic resource

Relation: http://www.computeroptics.ru/eng/KO/Annot/KO45-5/450516e.html; https://doaj.org/toc/0134-2452; https://doaj.org/toc/2412-6179

Prístupová URL adresa: https://doaj.org/article/1f8067518aa54339b731183bc24fc700

Fast Selection of Blur Coefficients in a Multidimensional Nonparametric Pattern Recognition Algorithm

Autori: V. A. Lapko A. V. Lapko

Zdroj: Measurement Techniques. 62:665-672

Predmety: 0103 physical sciences, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://link.springer.com/article/10.1007/s11018-019-01676-0

Methods for Rapid Selection of Kernel Function Blur Coefficients in a Nonparametric Pattern Recognition Algorithm

Autori: A. V. Lapko V. A. Lapko

Zdroj: Measurement Techniques. 62:300-306

Predmety: 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://link.springer.com/10.1007/s11018-019-01621-1
https://link.springer.com/article/10.1007/s11018-019-01621-1

Method of fast algorithm bandwidth selection for kernel function in nonparametric pattern recognition algorithm

Autori: V.A. Lapko A. V. Lapko

Zdroj: Izmeritel`naya Tekhnika. :4-8

Predmety: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Fast bandwidth selection in a multidimensional nonparametric pattern recognition algorithm

Autori: A. V. Lapko V.A. Lapko

Zdroj: Izmeritel`naya Tekhnika. :8-13

Predmety: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

A technique for testing hypotheses for distributions of multidimensional spectral data using a nonparametric pattern recognition algorithm

Autori: Alexander Lapko Vasily Lapko

Zdroj: Компьютерная оптика, Vol 43, Iss 2, Pp 238-244 (2019)

Predmety: testing a statistical hypothesis, multivariate random variables, pattern recognition, kernel density estimation, selecting bandwidth, spectral data, remote sensing, forest conditions, Information theory, Q350-390, Optics. Light, QC350-467

Popis súboru: electronic resource

Relation: http://computeroptics.ru/KO/PDF/KO43-2/430210.pdf; https://doaj.org/toc/0134-2452; https://doaj.org/toc/2412-6179

Prístupová URL adresa: https://doaj.org/article/14922f0a59714018b49f392e76166809

A Nonparametric Pattern Recognition Algorithm in the Problems of Analyzing the Data of Remote Sensing over Anthropogenic Territories.

Autori: Lapko, A. V. Lapko, V. A. Sharueva, A. V.

Zdroj: Optoelectronics Instrumentation & Data Processing; Feb2025, Vol. 61 Issue 1, p75-84, 10p

Identification of cloudiness by nonparametric pattern recognition algorithm from AVHRR data

Autori: Konstantin T. Protasov Tatyana Y. Pushkareva

Zdroj: SPIE Proceedings. 4678:230

Predmety: 0209 industrial biotechnology, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/4678/1/Identification-of-cloudiness-by-nonparametric-pattern-recognition-algorithm-from-AVHRR/10.1117/12.458447.full
http://ui.adsabs.harvard.edu/abs/2002SPIE.4678..230P/abstract

Detection of thermal anomalies (fires) by a nonparametric pattern recognition algorithm from measurements with the AVHRR instruments

Autori: Konstantin T. Protasov

Zdroj: SPIE Proceedings. 3868:465

Predmety: 0211 other engineering and technologies, 0207 environmental engineering, 02 engineering and technology

Prístupová URL adresa: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/3868/1/Detection-of-thermal-anomalies-fires-by-a-nonparametric-pattern-recognition/10.1117/12.373103.full
https://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=911029
https://ui.adsabs.harvard.edu/abs/1999SPIE.3868..465P/abstract

Application of a Nonparametric Pattern Recognition Algorithm to the Problem of Testing the Hypothesis of the Independence of Variables of Multi-Valued Functions.

Autori: Lapko, A. V. Lapko, V. A. Bakhtina, A. V.

Zdroj: Measurement Techniques; Apr2022, Vol. 65 Issue 1, p17-23, 7p

Predmety: PATTERN recognition systems, RANDOM variables, PROBABILITY density function, STATISTICS, ALGORITHMS, INDEPENDENCE (Mathematics)

Formation of Sets of Independent Components of a Multidimensional Random Variable Based on a Nonparametric Pattern Recognition Algorithm.

Autori: Lapko, A. V. Lapko, V. A. Bakhtina, A. V.

Zdroj: Measurement Techniques; Dec2021, Vol. 64 Issue 9, p689-696, 8p

Predmety: PATTERN recognition systems, INDEPENDENT sets, RANDOM sets, INDEPENDENT variables, ALGORITHMS, INDEPENDENCE (Mathematics), RANDOM variables

Fast Selection of Blur Coefficients in a Multidimensional Nonparametric Pattern Recognition Algorithm.

Autori: Lapko, A. V. Lapko, V. A.

Zdroj: Measurement Techniques; Nov2019, Vol. 62 Issue 8, p665-672, 8p

Predmety: PATTERN recognition systems, NONPARAMETRIC estimation, STATISTICAL decision making, KERNEL functions, ALGORITHMS, DENSITY functionals, RANDOM variables

Methods for Rapid Selection of Kernel Function Blur Coefficients in a Nonparametric Pattern Recognition Algorithm.

Autori: Lapko, A. V. Lapko, V. A.

Zdroj: Measurement Techniques; Jul2019, Vol. 62 Issue 4, p300-306, 7p

Predmety: PATTERN perception, RANDOM variables, KERNEL functions, ERROR probability, ALGORITHMS

Identification of cloudiness by nonparametric pattern recognition algorithm from AVHRR data.

Autori: Pushkareva, Tatyana Y. Protasov, Konstantin T.

Zdroj: Proceedings of SPIE; Nov2002, Issue 1, p230-236, 7p