Fast Dimension Reduction Based on NMF
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86077797" target="_blank" >RIV/61989100:27240/10:86077797 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fast Dimension Reduction Based on NMF
Original language description
Non-negative matrix factorization is an important method in the analysis of high dimensional datasets. It has a number of applications including pattern recognition, data clustering, information retrieval or computer security. One of its significant drawback lies in its computational complexity. In this paper, we discuss a novel method to allow fast approximate transformation from input space to feature space defined by non-negative matrix factorization.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F420" target="_blank" >FR-TI1/420: *Integrated software system for optimalization and control of technological processes and prediction of production quality for large technological complexes with use of advanced mathematic method, simulation and artificial intelligence.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ADVANCES IN COMPUTATION AND INTELLIGENCE
ISBN
978-3-642-16492-7
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
Springer-Verlag Berlin Heidelberg
Place of publication
Berlin Heidelberg
Event location
Wuhan, PEOPLES R CHINA
Event date
Oct 22, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000289340600043