About: Classification of Spatio-Temporal Data

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Classification of Spatio-Temporal Data Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper presents a new approach in spatio-temporal data classification. Due to easy transformation of time dimension of spatio-temporal data into the phase of complex number, the presented approach uses complex numbers. The classification is based on a complex-valued neural network with multilayer topology. The paper proposes an extension of complexvalued backpropagation algorithm, which uses activation function applying nonlinearity on the amplitude only (preserving the phase). In order to transform the input data into complex numbers, a new coding technique is presented. Output coding is developed allowing the classification from complex numbers. It is solved with introduction of one-of-N coding extension into complex numbers, which is used as network's output coding. This approach is verified in application of hand-written character recognition, using the data collected during the writing process. The simulation results of this application are presented in the paper. This paper presents a new approach in spatio-temporal data classification. Due to easy transformation of time dimension of spatio-temporal data into the phase of complex number, the presented approach uses complex numbers. The classification is based on a complex-valued neural network with multilayer topology. The paper proposes an extension of complexvalued backpropagation algorithm, which uses activation function applying nonlinearity on the amplitude only (preserving the phase). In order to transform the input data into complex numbers, a new coding technique is presented. Output coding is developed allowing the classification from complex numbers. It is solved with introduction of one-of-N coding extension into complex numbers, which is used as network's output coding. This approach is verified in application of hand-written character recognition, using the data collected during the writing process. The simulation results of this application are presented in the paper. (en)
Title	Classification of Spatio-Temporal Data Classification of Spatio-Temporal Data (en)
skos:prefLabel	Classification of Spatio-Temporal Data Classification of Spatio-Temporal Data (en)
skos:notation	RIV/68407700:21240/10:00171587!RIV11-MSM-21240___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Zahradník, Jakub Skrbek, Miroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	250910
http://linked.open...ai/riv/idVysledku	RIV/68407700:21240/10:00171587
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	complex-valued; neural network; spatio-temporal; backpropagation (en)
http://linked.open.../riv/klicoveSlovo	complex-valued neural network spatio-temporal backpropagation
http://linked.open...ontrolniKodProRIV	[46800084BC6F]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Prague
http://linked.open...i/riv/nazevZdroje	Proceedings of the 7th EUROSIM Congress on Modelling and Simulation, Vol. 2: Full Papers
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Skrbek, Miroslav Zahradník, Jakub
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2010-09-06 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Department of Computer Science and Engineering, FEE, CTU in Prague
https://schema.org/isbn	978-80-01-04589-3
http://localhost/t...ganizacniJednotka	21240

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software