Matches in SemOpenAlex for { <https://semopenalex.org/work/W2755361303> ?p ?o ?g. }
- W2755361303 endingPage "175" @default.
- W2755361303 startingPage "161" @default.
- W2755361303 abstract "Abstract Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) and pattern recognition (PR). The theory, carefully exposed, is supplemented with numerical cases, augmented with C/C++ source-codes and enriched with example applications on restricted-vocabulary speech recognition and image synthesis. Complementarily and as innovatively shown, the ordinary calculation of H corresponds to the outcome of a partially pre-tuned deep neural network architecture which fuses important information, bringing a cutting-edge point-of-view for both DSP and PR communities." @default.
- W2755361303 created "2017-09-25" @default.
- W2755361303 creator A5056328000 @default.
- W2755361303 date "2018-05-01" @default.
- W2755361303 modified "2023-10-02" @default.
- W2755361303 title "A tutorial review on entropy-based handcrafted feature extraction for information fusion" @default.
- W2755361303 cites W1021049237 @default.
- W2755361303 cites W1624597075 @default.
- W2755361303 cites W1933063824 @default.
- W2755361303 cites W1969774370 @default.
- W2755361303 cites W1974314515 @default.
- W2755361303 cites W1975665827 @default.
- W2755361303 cites W1995875735 @default.
- W2755361303 cites W2002638469 @default.
- W2755361303 cites W2003788511 @default.
- W2755361303 cites W2005764955 @default.
- W2755361303 cites W2009164871 @default.
- W2755361303 cites W2014417436 @default.
- W2755361303 cites W2022128907 @default.
- W2755361303 cites W2026767265 @default.
- W2755361303 cites W2027763537 @default.
- W2755361303 cites W2029504683 @default.
- W2755361303 cites W2045810864 @default.
- W2755361303 cites W2052445994 @default.
- W2755361303 cites W2056933203 @default.
- W2755361303 cites W2059202432 @default.
- W2755361303 cites W2066847844 @default.
- W2755361303 cites W2073792037 @default.
- W2755361303 cites W2080420136 @default.
- W2755361303 cites W2085457662 @default.
- W2755361303 cites W2090771051 @default.
- W2755361303 cites W2095363061 @default.
- W2755361303 cites W2113649139 @default.
- W2755361303 cites W2127499922 @default.
- W2755361303 cites W2132709984 @default.
- W2755361303 cites W2155517073 @default.
- W2755361303 cites W2200165300 @default.
- W2755361303 cites W2203598720 @default.
- W2755361303 cites W2204727808 @default.
- W2755361303 cites W2208264322 @default.
- W2755361303 cites W2217250140 @default.
- W2755361303 cites W2221477732 @default.
- W2755361303 cites W2239378900 @default.
- W2755361303 cites W2266148845 @default.
- W2755361303 cites W2289603953 @default.
- W2755361303 cites W2292441838 @default.
- W2755361303 cites W2292553612 @default.
- W2755361303 cites W2298515103 @default.
- W2755361303 cites W2325838716 @default.
- W2755361303 cites W2335720172 @default.
- W2755361303 cites W2418258728 @default.
- W2755361303 cites W2472441091 @default.
- W2755361303 cites W2523402549 @default.
- W2755361303 cites W2550913733 @default.
- W2755361303 cites W2552163569 @default.
- W2755361303 cites W2595857738 @default.
- W2755361303 cites W2608070932 @default.
- W2755361303 cites W587586912 @default.
- W2755361303 cites W986100872 @default.
- W2755361303 doi "https://doi.org/10.1016/j.inffus.2017.09.006" @default.
- W2755361303 hasPublicationYear "2018" @default.
- W2755361303 type Work @default.
- W2755361303 sameAs 2755361303 @default.
- W2755361303 citedByCount "34" @default.
- W2755361303 countsByYear W27553613032018 @default.
- W2755361303 countsByYear W27553613032019 @default.
- W2755361303 countsByYear W27553613032020 @default.
- W2755361303 countsByYear W27553613032021 @default.
- W2755361303 countsByYear W27553613032022 @default.
- W2755361303 countsByYear W27553613032023 @default.
- W2755361303 crossrefType "journal-article" @default.
- W2755361303 hasAuthorship W2755361303A5056328000 @default.
- W2755361303 hasBestOaLocation W27553613032 @default.
- W2755361303 hasConcept C106301342 @default.
- W2755361303 hasConcept C119857082 @default.
- W2755361303 hasConcept C121332964 @default.
- W2755361303 hasConcept C124101348 @default.
- W2755361303 hasConcept C138885662 @default.
- W2755361303 hasConcept C153180895 @default.
- W2755361303 hasConcept C154945302 @default.
- W2755361303 hasConcept C158525013 @default.
- W2755361303 hasConcept C2982962833 @default.
- W2755361303 hasConcept C41008148 @default.
- W2755361303 hasConcept C41895202 @default.
- W2755361303 hasConcept C52622490 @default.
- W2755361303 hasConcept C62520636 @default.
- W2755361303 hasConceptScore W2755361303C106301342 @default.
- W2755361303 hasConceptScore W2755361303C119857082 @default.
- W2755361303 hasConceptScore W2755361303C121332964 @default.
- W2755361303 hasConceptScore W2755361303C124101348 @default.
- W2755361303 hasConceptScore W2755361303C138885662 @default.
- W2755361303 hasConceptScore W2755361303C153180895 @default.
- W2755361303 hasConceptScore W2755361303C154945302 @default.
- W2755361303 hasConceptScore W2755361303C158525013 @default.
- W2755361303 hasConceptScore W2755361303C2982962833 @default.
- W2755361303 hasConceptScore W2755361303C41008148 @default.
- W2755361303 hasConceptScore W2755361303C41895202 @default.
- W2755361303 hasConceptScore W2755361303C52622490 @default.