Buchumschlag

The depth-based classification method based on remote concentration measure for asymmetric data processing

Gespeichert in:

Bibliographische Detailangaben
Datum:	2016
1. Verfasser:	A. A. Galkin
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	2016
Schriftenreihe:	Cybernetics and Systems Analysis
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0000502504
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

Depth based classification method on the basis of a scalable Mahalanobis distance for sets with unequal prior probabilities
von: A. A. Galkin
Veröffentlicht: (2016)

Algorithmic aspects of determining the depth functions in selecting the optimal hypothesis for data classification problems
von: A. A. Galkin
Veröffentlicht: (2016)

Data Processing Algorithm of Concentration Measurement by Chronoionometry Method
von: I. V. Surovtsev, et al.
Veröffentlicht: (2016)

Affine-invariant classifier of extrapolation depth based on multilevel smoothing structure
von: A. A. Galkin
Veröffentlicht: (2016)

Classification of information security threats to computer systems for remote data processing
von: Korpan, Y. V.
Veröffentlicht: (2015)

The research of the asymptotic properties of non-parametric classifiers based on depth functions
von: A. V. Anisimov, et al.
Veröffentlicht: (2015)

etermination of air quality based on data mining of remote sensing data
von: V. V. Putrenko, et al.
Veröffentlicht: (2016)

Methods of system analysis and models for solving problems of the efficient environmental resource management and ecological management based on remotely sensed data and in-situ measurements (Based on the publication of the department of system analysis o
von: A. D. Fedorovskij, et al.
Veröffentlicht: (2014)

Recent stress deformation in disjunctive zones on the base of remote sensing data
von: O. Azimov
Veröffentlicht: (2010)

Recent stress deformation in disjunctive zones on the base of remote sensing data
von: Azimov, O.
Veröffentlicht: (2010)

Evolutional method application for gas turbine engine unite parameters estimation on the base of measuring data by the operational process
von: E. M. Ugrjumova, et al.
Veröffentlicht: (2010)

Affine-invariant depth-based classifiers on the basis of the k-nearest neighbors method
von: O. A. Halkin
Veröffentlicht: (2016)

METHODS OF SYSTEM ANALYSIS AND MODELS FOR SOLVING PROBLEMS OF THE EFFICIENT ENVIRONMENTAL RESOURCE MANAGEMENT AND ECOLOGICAL MANAGEMENT BASED ON REMOTELY SENSED DATA AND IN-SITU MEASUREMENTS (BASED ON THE PUBLICATION OF THE DEPARTMENT OF SYSTEM ANALYSIS O
von: Федоровский, А. Д., et al.
Veröffentlicht: (2015)

Devices for remote temperature measurement of various objects based on CdSb anisotropic thermoelements
von: I. M. Rarenko, et al.
Veröffentlicht: (2015)

Remote control and data transmission system for measurements in severe radiation environment
von: Batiy, V.G., et al.
Veröffentlicht: (2011)

Evolutional method application for gas turbine engine unite parameters estimation on the base of measuring data by the operational process
von: Угрюмова, Е. М., et al.
Veröffentlicht: (2017)

Evolutional method application for gas turbine engine unite parameters estimation on the base of measuring data by the operational process
von: Угрюмова, Е. М., et al.
Veröffentlicht: (2017)

Classification of parameters, influencing the depth of the cryogenic-gravel filters descent
von: A. A. Kozhevnikov, et al.
Veröffentlicht: (2017)

Research of nonparametric maximum-depth classifiers based on the spatial quantiles
von: O. A. Halkin
Veröffentlicht: (2015)

Metrological support of measurements of the depth of Svitiaz lake
von: M. M. Melnyk, et al.
Veröffentlicht: (2015)

Determining Spatial Parameters of the Ecological Niche of Parus major (Passeriformes, Paridae) on the Base of Remote Sensing Data
von: A. A. Zimaroeva, et al.
Veröffentlicht: (2016)

Neural-network-based methods for ARPES data processing (review article)
von: Yu. V. Pustovit, et al.
Veröffentlicht: (2024)

Neural-network-based methods for ARPES data processing (review article)
von: Yu. V. Pustovit, et al.
Veröffentlicht: (2024)

Hydrocarbon deposit mapping validation by the means of ground-based spectrometry, remote sensing and geophysical data
von: O. V. Tytarenko
Veröffentlicht: (2019)

Asymptotic estimate of depth-based classifiers within the location shift model
von: O. A. Halkin
Veröffentlicht: (2015)

Hydrocarbon deposit mapping validation by the means of ground-based spectrometry, remote sensing and geophysical data
von: Titarenko, Olga
Veröffentlicht: (2019)

Using an ensemble of convolutional neural networks to process remote sensing data
von: E. E. Marushko, et al.
Veröffentlicht: (2018)

Remote Monitoring of Lake Depth Using Multi-Channel Access to Fields of Seiches Origin
von: P. V. Anakhov, et al.
Veröffentlicht: (2016)

The design of a gas turbine driven compressor unit based on an in-depth thermodynamic analysis of its working process
von: S. A. Prilipko, et al.
Veröffentlicht: (2017)

Method of features construction for remote sensing images based on the characteristics of random point fields
von: Ya. Kosarevych, et al.
Veröffentlicht: (2017)

Research and forecasting of landslide phenomena of the Dnieper zone of Kyiv based on the remote sensing data and geomorfological studies
von: N. V. Pazynych
Veröffentlicht: (2017)

Research and forecasting of landslide phenomena of the Dniper zone of Kyiv based on the remote sensing data and geomorfological studies
von: Pazynych, Nataliia
Veröffentlicht: (2017)

Validation of remote measurement of rain characteristics by the method of double frequency radar sensing
von: A. M. Linkova, et al.
Veröffentlicht: (2022)

Methods of remote measurement and modeling of stem profiles to evaluate their assortment and quality structure
von: O. A. Slysh, et al.
Veröffentlicht: (2014)

VALIDATION OF REMOTE MEASUREMENT OF RAIN CHARACTERISTICS BY THE METHOD OF DOUBLE FREQUENCY RADAR SENSING
von: Linkova, A. M., et al.
Veröffentlicht: (2023)

Classification of methods for measuring current-voltage characteristics of semiconductor devices
von: E. A. Ermolenko
Veröffentlicht: (2014)

Neural and statistical techniques for remote sensing image classification
von: Grypych, Iu., et al.
Veröffentlicht: (2010)

Using ellipsometry methods for depth analyzing the optical disc data layer relief structures
von: Kravets, V.G., et al.
Veröffentlicht: (2008)

Image processing technologies based on complexing data (Reviev)
von: D. V. Storozhyk, et al.
Veröffentlicht: (2022)

RESEARCH OF LANDSLIDE PROCESSES FOR THE TERRITORY OF KYIV WITH MONITORING REMOTE SENSING DATA
von: Ліщенко, Л. П., et al.
Veröffentlicht: (2014)