Matches in SemOpenAlex for { <https://semopenalex.org/work/W2908842030> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2908842030 abstract "The usual trend for the conventional palmvein recognition techniques is first to extract discriminative hand-crafted feature representations from the raw images, and then feed a classifier with them. Unfortunately, it is not yet clear how the effectiveness of such features may be held in case of a large user population or in environments where the variability among acquisitions of the same person may increase. In order to face with this problem, it may be considered that the use of multiple classifiers may increase the recognition performance with respect to that of the best individual classifier, and also may handle the problem of an effective feature extraction step. In this paper, we explore the ensemble classifier approach based on Random Subspace Method (RSM), where the basic feature space is derived after a preliminary feature reduction step on the source image, and compare results achieved with and without the use of hand-crafted features. Experimental results allow us concluding that this approach leads to better results under different environmental conditions." @default.
- W2908842030 created "2019-01-25" @default.
- W2908842030 creator A5002366419 @default.
- W2908842030 creator A5011575105 @default.
- W2908842030 creator A5024106533 @default.
- W2908842030 creator A5035273426 @default.
- W2908842030 creator A5046601560 @default.
- W2908842030 date "2018-11-01" @default.
- W2908842030 modified "2023-10-16" @default.
- W2908842030 title "A multiple classifiers-based approach to palmvein identification" @default.
- W2908842030 cites W1965520420 @default.
- W2908842030 cites W1974672153 @default.
- W2908842030 cites W2009070145 @default.
- W2908842030 cites W2018340704 @default.
- W2908842030 cites W2031337792 @default.
- W2908842030 cites W2043229217 @default.
- W2908842030 cites W2052506731 @default.
- W2908842030 cites W2054113231 @default.
- W2908842030 cites W2086447793 @default.
- W2908842030 cites W2102181094 @default.
- W2908842030 cites W2105529884 @default.
- W2908842030 cites W2113242816 @default.
- W2908842030 cites W2151103935 @default.
- W2908842030 cites W2158275940 @default.
- W2908842030 cites W2163352848 @default.
- W2908842030 cites W2201781451 @default.
- W2908842030 cites W3081791022 @default.
- W2908842030 doi "https://doi.org/10.1109/ipta.2018.8608150" @default.
- W2908842030 hasPublicationYear "2018" @default.
- W2908842030 type Work @default.
- W2908842030 sameAs 2908842030 @default.
- W2908842030 citedByCount "8" @default.
- W2908842030 countsByYear W29088420302019 @default.
- W2908842030 countsByYear W29088420302020 @default.
- W2908842030 countsByYear W29088420302021 @default.
- W2908842030 countsByYear W29088420302022 @default.
- W2908842030 countsByYear W29088420302023 @default.
- W2908842030 crossrefType "proceedings-article" @default.
- W2908842030 hasAuthorship W2908842030A5002366419 @default.
- W2908842030 hasAuthorship W2908842030A5011575105 @default.
- W2908842030 hasAuthorship W2908842030A5024106533 @default.
- W2908842030 hasAuthorship W2908842030A5035273426 @default.
- W2908842030 hasAuthorship W2908842030A5046601560 @default.
- W2908842030 hasBestOaLocation W29088420302 @default.
- W2908842030 hasConcept C106135958 @default.
- W2908842030 hasConcept C119857082 @default.
- W2908842030 hasConcept C144024400 @default.
- W2908842030 hasConcept C149923435 @default.
- W2908842030 hasConcept C153180895 @default.
- W2908842030 hasConcept C154945302 @default.
- W2908842030 hasConcept C2908647359 @default.
- W2908842030 hasConcept C31510193 @default.
- W2908842030 hasConcept C32834561 @default.
- W2908842030 hasConcept C41008148 @default.
- W2908842030 hasConcept C52622490 @default.
- W2908842030 hasConcept C70518039 @default.
- W2908842030 hasConcept C83665646 @default.
- W2908842030 hasConcept C95623464 @default.
- W2908842030 hasConcept C97931131 @default.
- W2908842030 hasConceptScore W2908842030C106135958 @default.
- W2908842030 hasConceptScore W2908842030C119857082 @default.
- W2908842030 hasConceptScore W2908842030C144024400 @default.
- W2908842030 hasConceptScore W2908842030C149923435 @default.
- W2908842030 hasConceptScore W2908842030C153180895 @default.
- W2908842030 hasConceptScore W2908842030C154945302 @default.
- W2908842030 hasConceptScore W2908842030C2908647359 @default.
- W2908842030 hasConceptScore W2908842030C31510193 @default.
- W2908842030 hasConceptScore W2908842030C32834561 @default.
- W2908842030 hasConceptScore W2908842030C41008148 @default.
- W2908842030 hasConceptScore W2908842030C52622490 @default.
- W2908842030 hasConceptScore W2908842030C70518039 @default.
- W2908842030 hasConceptScore W2908842030C83665646 @default.
- W2908842030 hasConceptScore W2908842030C95623464 @default.
- W2908842030 hasConceptScore W2908842030C97931131 @default.
- W2908842030 hasLocation W29088420301 @default.
- W2908842030 hasLocation W29088420302 @default.
- W2908842030 hasLocation W29088420303 @default.
- W2908842030 hasOpenAccess W2908842030 @default.
- W2908842030 hasPrimaryLocation W29088420301 @default.
- W2908842030 hasRelatedWork W1967062067 @default.
- W2908842030 hasRelatedWork W1967645798 @default.
- W2908842030 hasRelatedWork W2036037460 @default.
- W2908842030 hasRelatedWork W2119875513 @default.
- W2908842030 hasRelatedWork W2155749504 @default.
- W2908842030 hasRelatedWork W2311479510 @default.
- W2908842030 hasRelatedWork W2586441539 @default.
- W2908842030 hasRelatedWork W2772780115 @default.
- W2908842030 hasRelatedWork W2806866760 @default.
- W2908842030 hasRelatedWork W3042396320 @default.
- W2908842030 isParatext "false" @default.
- W2908842030 isRetracted "false" @default.
- W2908842030 magId "2908842030" @default.
- W2908842030 workType "article" @default.