Matches in SemOpenAlex for { <https://semopenalex.org/work/W2076709177> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2076709177 abstract "In heterogeneous, multisensor and multitarget data fusion systems the notion of “levels” is used in order to divide the complex problem of discovering relationships between objects into parts which are easier to understand. In presented paper we consider classifiers as general feature generators, these algorithms are able to connect data from different sensors and different observations. The classifier increases the level of data abstraction, which simplifies the architecture of following system components in data fusion chain. A data fusion engine named DAFNE uses the presented paradigm in its classifier module. The module was implemented in Python and C++, the Naïve Bayesian and decision tree classifiers were used. The tests on simulated data shows improvement of data quality via fusion. The system design allowed to attain real-time processing with limited data volume." @default.
- W2076709177 created "2016-06-24" @default.
- W2076709177 creator A5002830474 @default.
- W2076709177 creator A5025556101 @default.
- W2076709177 creator A5029567852 @default.
- W2076709177 date "2012-05-01" @default.
- W2076709177 modified "2023-09-23" @default.
- W2076709177 title "Machine learning methods in data fusion systems" @default.
- W2076709177 cites W2096187762 @default.
- W2076709177 cites W2137504872 @default.
- W2076709177 cites W2158449659 @default.
- W2076709177 cites W4236137412 @default.
- W2076709177 cites W4301347335 @default.
- W2076709177 doi "https://doi.org/10.1109/irs.2012.6233354" @default.
- W2076709177 hasPublicationYear "2012" @default.
- W2076709177 type Work @default.
- W2076709177 sameAs 2076709177 @default.
- W2076709177 citedByCount "5" @default.
- W2076709177 countsByYear W20767091772018 @default.
- W2076709177 countsByYear W20767091772020 @default.
- W2076709177 countsByYear W20767091772021 @default.
- W2076709177 countsByYear W20767091772022 @default.
- W2076709177 countsByYear W20767091772023 @default.
- W2076709177 crossrefType "proceedings-article" @default.
- W2076709177 hasAuthorship W2076709177A5002830474 @default.
- W2076709177 hasAuthorship W2076709177A5025556101 @default.
- W2076709177 hasAuthorship W2076709177A5029567852 @default.
- W2076709177 hasConcept C119857082 @default.
- W2076709177 hasConcept C12267149 @default.
- W2076709177 hasConcept C124101348 @default.
- W2076709177 hasConcept C138885662 @default.
- W2076709177 hasConcept C153180895 @default.
- W2076709177 hasConcept C154945302 @default.
- W2076709177 hasConcept C158525013 @default.
- W2076709177 hasConcept C199360897 @default.
- W2076709177 hasConcept C33954974 @default.
- W2076709177 hasConcept C41008148 @default.
- W2076709177 hasConcept C41895202 @default.
- W2076709177 hasConcept C519991488 @default.
- W2076709177 hasConcept C52001869 @default.
- W2076709177 hasConcept C84525736 @default.
- W2076709177 hasConcept C95623464 @default.
- W2076709177 hasConceptScore W2076709177C119857082 @default.
- W2076709177 hasConceptScore W2076709177C12267149 @default.
- W2076709177 hasConceptScore W2076709177C124101348 @default.
- W2076709177 hasConceptScore W2076709177C138885662 @default.
- W2076709177 hasConceptScore W2076709177C153180895 @default.
- W2076709177 hasConceptScore W2076709177C154945302 @default.
- W2076709177 hasConceptScore W2076709177C158525013 @default.
- W2076709177 hasConceptScore W2076709177C199360897 @default.
- W2076709177 hasConceptScore W2076709177C33954974 @default.
- W2076709177 hasConceptScore W2076709177C41008148 @default.
- W2076709177 hasConceptScore W2076709177C41895202 @default.
- W2076709177 hasConceptScore W2076709177C519991488 @default.
- W2076709177 hasConceptScore W2076709177C52001869 @default.
- W2076709177 hasConceptScore W2076709177C84525736 @default.
- W2076709177 hasConceptScore W2076709177C95623464 @default.
- W2076709177 hasLocation W20767091771 @default.
- W2076709177 hasOpenAccess W2076709177 @default.
- W2076709177 hasPrimaryLocation W20767091771 @default.
- W2076709177 hasRelatedWork W1470425429 @default.
- W2076709177 hasRelatedWork W2754051746 @default.
- W2076709177 hasRelatedWork W3156401890 @default.
- W2076709177 hasRelatedWork W4200057378 @default.
- W2076709177 hasRelatedWork W4205958290 @default.
- W2076709177 hasRelatedWork W4226139868 @default.
- W2076709177 hasRelatedWork W4285225238 @default.
- W2076709177 hasRelatedWork W4308191010 @default.
- W2076709177 hasRelatedWork W4376052255 @default.
- W2076709177 hasRelatedWork W4383746529 @default.
- W2076709177 isParatext "false" @default.
- W2076709177 isRetracted "false" @default.
- W2076709177 magId "2076709177" @default.
- W2076709177 workType "article" @default.