Matches in SemOpenAlex for { <https://semopenalex.org/work/W2110144770> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2110144770 abstract "This paper presents a novel technique for texture modeling and synthesis using the random neural network (RNN). This technique is based on learning the weights of a recurrent network directly from the texture image. The same trained recurrent network is then used to generate a synthetic texture that imitates the original one. The proposed texture learning technique is very efficient and its computation time is much smaller than that of approaches using Markov Random Fields. Texture generation is also very fast. We have tested our method with different synthetic and natural textures. The experimental results show that the RNN can efficiently model a large category of homogeneous microtextures. Statistical features extracted from the co- occurrence matrix of the original and the RNN based texture are used to evaluate the quality of fit of the RNN based approach." @default.
- W2110144770 created "2016-06-24" @default.
- W2110144770 creator A5023534301 @default.
- W2110144770 creator A5069266068 @default.
- W2110144770 creator A5074413858 @default.
- W2110144770 date "2000-04-14" @default.
- W2110144770 modified "2023-10-04" @default.
- W2110144770 title "<title>Random neural network texture model</title>" @default.
- W2110144770 cites W180801950 @default.
- W2110144770 cites W1996538584 @default.
- W2110144770 cites W2010470943 @default.
- W2110144770 cites W2031586513 @default.
- W2110144770 cites W2044465660 @default.
- W2110144770 cites W2060209952 @default.
- W2110144770 cites W2062750789 @default.
- W2110144770 cites W2081955982 @default.
- W2110144770 cites W2263205982 @default.
- W2110144770 doi "https://doi.org/10.1117/12.382903" @default.
- W2110144770 hasPublicationYear "2000" @default.
- W2110144770 type Work @default.
- W2110144770 sameAs 2110144770 @default.
- W2110144770 citedByCount "7" @default.
- W2110144770 countsByYear W21101447702017 @default.
- W2110144770 countsByYear W21101447702018 @default.
- W2110144770 crossrefType "proceedings-article" @default.
- W2110144770 hasAuthorship W2110144770A5023534301 @default.
- W2110144770 hasAuthorship W2110144770A5069266068 @default.
- W2110144770 hasAuthorship W2110144770A5074413858 @default.
- W2110144770 hasBestOaLocation W21101447702 @default.
- W2110144770 hasConcept C11413529 @default.
- W2110144770 hasConcept C115961682 @default.
- W2110144770 hasConcept C124504099 @default.
- W2110144770 hasConcept C144743038 @default.
- W2110144770 hasConcept C147168706 @default.
- W2110144770 hasConcept C153180895 @default.
- W2110144770 hasConcept C154945302 @default.
- W2110144770 hasConcept C23224414 @default.
- W2110144770 hasConcept C2781195486 @default.
- W2110144770 hasConcept C31972630 @default.
- W2110144770 hasConcept C41008148 @default.
- W2110144770 hasConcept C45374587 @default.
- W2110144770 hasConcept C50494287 @default.
- W2110144770 hasConcept C50644808 @default.
- W2110144770 hasConcept C63099799 @default.
- W2110144770 hasConceptScore W2110144770C11413529 @default.
- W2110144770 hasConceptScore W2110144770C115961682 @default.
- W2110144770 hasConceptScore W2110144770C124504099 @default.
- W2110144770 hasConceptScore W2110144770C144743038 @default.
- W2110144770 hasConceptScore W2110144770C147168706 @default.
- W2110144770 hasConceptScore W2110144770C153180895 @default.
- W2110144770 hasConceptScore W2110144770C154945302 @default.
- W2110144770 hasConceptScore W2110144770C23224414 @default.
- W2110144770 hasConceptScore W2110144770C2781195486 @default.
- W2110144770 hasConceptScore W2110144770C31972630 @default.
- W2110144770 hasConceptScore W2110144770C41008148 @default.
- W2110144770 hasConceptScore W2110144770C45374587 @default.
- W2110144770 hasConceptScore W2110144770C50494287 @default.
- W2110144770 hasConceptScore W2110144770C50644808 @default.
- W2110144770 hasConceptScore W2110144770C63099799 @default.
- W2110144770 hasLocation W21101447701 @default.
- W2110144770 hasLocation W21101447702 @default.
- W2110144770 hasLocation W21101447703 @default.
- W2110144770 hasOpenAccess W2110144770 @default.
- W2110144770 hasPrimaryLocation W21101447701 @default.
- W2110144770 hasRelatedWork W1967418220 @default.
- W2110144770 hasRelatedWork W1975273303 @default.
- W2110144770 hasRelatedWork W2070442282 @default.
- W2110144770 hasRelatedWork W2110144770 @default.
- W2110144770 hasRelatedWork W2123435361 @default.
- W2110144770 hasRelatedWork W225578795 @default.
- W2110144770 hasRelatedWork W2348548569 @default.
- W2110144770 hasRelatedWork W2383338422 @default.
- W2110144770 hasRelatedWork W2914618670 @default.
- W2110144770 hasRelatedWork W2479461533 @default.
- W2110144770 isParatext "false" @default.
- W2110144770 isRetracted "false" @default.
- W2110144770 magId "2110144770" @default.
- W2110144770 workType "article" @default.