Matches in SemOpenAlex for { <https://semopenalex.org/work/W2905996902> ?p ?o ?g. }
- W2905996902 endingPage "13" @default.
- W2905996902 startingPage "9" @default.
- W2905996902 abstract "Accurately discriminating complicated sceneries from different categories is a useful technique in multimedia and computer vision. In this work, we propose a novel multi-view non-negative matrix factorization to detect human gaze behavior, which is subsequently integrated into an image kernel machine for scene categorization. More specifically, we first project regions from each scenery into the so-called perceptual space, which is established by combining color, texture, and semantic features. Then, a novel non-negative matrix factorization (NMF) algorithm is developed which decomposes the regions’ feature matrix into the product of the basis matrix and the sparse codes. The sparse codes indicate the saliency level of different regions which is used to constructed gaze shifting path. Thereby, the path from each scenery is derived and further incorporated into an image kernel for scene categorization. Comprehensive experiments on six scenery data sets have demonstrated the superiority of our method over a series of recognition models." @default.
- W2905996902 created "2019-01-01" @default.
- W2905996902 creator A5000799344 @default.
- W2905996902 creator A5027031161 @default.
- W2905996902 creator A5045537572 @default.
- W2905996902 creator A5062880214 @default.
- W2905996902 creator A5066937150 @default.
- W2905996902 date "2019-02-01" @default.
- W2905996902 modified "2023-09-25" @default.
- W2905996902 title "Multi-view non-negative matrix factorization for scene recognition" @default.
- W2905996902 cites W1816257748 @default.
- W2905996902 cites W1969294188 @default.
- W2905996902 cites W2005646316 @default.
- W2905996902 cites W2010181071 @default.
- W2905996902 cites W2030488300 @default.
- W2905996902 cites W2030536784 @default.
- W2905996902 cites W2057175746 @default.
- W2905996902 cites W2071140863 @default.
- W2905996902 cites W2099606917 @default.
- W2905996902 cites W2115467367 @default.
- W2905996902 cites W2138639557 @default.
- W2905996902 cites W2145098817 @default.
- W2905996902 cites W2152100107 @default.
- W2905996902 cites W2154301842 @default.
- W2905996902 cites W2164371126 @default.
- W2905996902 cites W2171020023 @default.
- W2905996902 cites W2741835523 @default.
- W2905996902 cites W27743011 @default.
- W2905996902 doi "https://doi.org/10.1016/j.jvcir.2018.12.040" @default.
- W2905996902 hasPublicationYear "2019" @default.
- W2905996902 type Work @default.
- W2905996902 sameAs 2905996902 @default.
- W2905996902 citedByCount "2" @default.
- W2905996902 countsByYear W29059969022021 @default.
- W2905996902 countsByYear W29059969022023 @default.
- W2905996902 crossrefType "journal-article" @default.
- W2905996902 hasAuthorship W2905996902A5000799344 @default.
- W2905996902 hasAuthorship W2905996902A5027031161 @default.
- W2905996902 hasAuthorship W2905996902A5045537572 @default.
- W2905996902 hasAuthorship W2905996902A5062880214 @default.
- W2905996902 hasAuthorship W2905996902A5066937150 @default.
- W2905996902 hasConcept C106487976 @default.
- W2905996902 hasConcept C114614502 @default.
- W2905996902 hasConcept C121332964 @default.
- W2905996902 hasConcept C12426560 @default.
- W2905996902 hasConcept C152671427 @default.
- W2905996902 hasConcept C153180895 @default.
- W2905996902 hasConcept C154945302 @default.
- W2905996902 hasConcept C158693339 @default.
- W2905996902 hasConcept C159985019 @default.
- W2905996902 hasConcept C192562407 @default.
- W2905996902 hasConcept C2524010 @default.
- W2905996902 hasConcept C31972630 @default.
- W2905996902 hasConcept C33923547 @default.
- W2905996902 hasConcept C41008148 @default.
- W2905996902 hasConcept C42355184 @default.
- W2905996902 hasConcept C52622490 @default.
- W2905996902 hasConcept C61265191 @default.
- W2905996902 hasConcept C62520636 @default.
- W2905996902 hasConcept C74193536 @default.
- W2905996902 hasConcept C94124525 @default.
- W2905996902 hasConceptScore W2905996902C106487976 @default.
- W2905996902 hasConceptScore W2905996902C114614502 @default.
- W2905996902 hasConceptScore W2905996902C121332964 @default.
- W2905996902 hasConceptScore W2905996902C12426560 @default.
- W2905996902 hasConceptScore W2905996902C152671427 @default.
- W2905996902 hasConceptScore W2905996902C153180895 @default.
- W2905996902 hasConceptScore W2905996902C154945302 @default.
- W2905996902 hasConceptScore W2905996902C158693339 @default.
- W2905996902 hasConceptScore W2905996902C159985019 @default.
- W2905996902 hasConceptScore W2905996902C192562407 @default.
- W2905996902 hasConceptScore W2905996902C2524010 @default.
- W2905996902 hasConceptScore W2905996902C31972630 @default.
- W2905996902 hasConceptScore W2905996902C33923547 @default.
- W2905996902 hasConceptScore W2905996902C41008148 @default.
- W2905996902 hasConceptScore W2905996902C42355184 @default.
- W2905996902 hasConceptScore W2905996902C52622490 @default.
- W2905996902 hasConceptScore W2905996902C61265191 @default.
- W2905996902 hasConceptScore W2905996902C62520636 @default.
- W2905996902 hasConceptScore W2905996902C74193536 @default.
- W2905996902 hasConceptScore W2905996902C94124525 @default.
- W2905996902 hasLocation W29059969021 @default.
- W2905996902 hasOpenAccess W2905996902 @default.
- W2905996902 hasPrimaryLocation W29059969021 @default.
- W2905996902 hasRelatedWork W1582226822 @default.
- W2905996902 hasRelatedWork W1964120219 @default.
- W2905996902 hasRelatedWork W2022942246 @default.
- W2905996902 hasRelatedWork W2076289882 @default.
- W2905996902 hasRelatedWork W2133030781 @default.
- W2905996902 hasRelatedWork W2344014954 @default.
- W2905996902 hasRelatedWork W2382728211 @default.
- W2905996902 hasRelatedWork W2950902107 @default.
- W2905996902 hasRelatedWork W3022810197 @default.
- W2905996902 hasRelatedWork W1870298042 @default.
- W2905996902 hasVolume "59" @default.
- W2905996902 isParatext "false" @default.
- W2905996902 isRetracted "false" @default.
- W2905996902 magId "2905996902" @default.