Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964751462> ?p ?o ?g. }
- W2964751462 abstract "The classification of color image that contain skin pixel is a challenging process. It is challenging due to certain factor such as brightness, background similar to human skin represent the obstacles thereof. The basic approach of skin detection is color based classification. The human skin image is the composition of RGB color. The data values of skin is calculated by randomly sampling RGB color values of different face images which have different age, race, genders sets. However, its performance has not really been high because of the high overlapped degree between “skin” and “non-skin” pixels. This paper describes the linear norm fuzzy based twin support vector machine (LN-FTSVM)) approach for discriminate skin and non-skin data values of skin dataset and to enhance the skin recognition performance. The concept of fuzzy is resolved the unclassified and overlapped data region problems. If no decision function is positive for a data set, this data set is classified into a class with the large membership value. By computational experiments shows that Experiments result shows that the accuracy is improved by linear norm fuzzy based TSVM (LN-FTSVM)) over the conventional methods." @default.
- W2964751462 created "2019-08-13" @default.
- W2964751462 creator A5024464956 @default.
- W2964751462 creator A5062187021 @default.
- W2964751462 date "2018-12-01" @default.
- W2964751462 modified "2023-09-24" @default.
- W2964751462 title "A twin support vector machine based approach to classifying human skin" @default.
- W2964751462 cites W1185138977 @default.
- W2964751462 cites W1495222984 @default.
- W2964751462 cites W1517813200 @default.
- W2964751462 cites W1596717185 @default.
- W2964751462 cites W1914071192 @default.
- W2964751462 cites W1926032488 @default.
- W2964751462 cites W1990171195 @default.
- W2964751462 cites W1994807229 @default.
- W2964751462 cites W2018386718 @default.
- W2964751462 cites W2058905763 @default.
- W2964751462 cites W2069231281 @default.
- W2964751462 cites W2083709814 @default.
- W2964751462 cites W2106309274 @default.
- W2964751462 cites W2116331921 @default.
- W2964751462 cites W2118300410 @default.
- W2964751462 cites W2119821739 @default.
- W2964751462 cites W2128552633 @default.
- W2964751462 cites W2147068385 @default.
- W2964751462 cites W2147813562 @default.
- W2964751462 cites W2152523366 @default.
- W2964751462 cites W2164115409 @default.
- W2964751462 cites W2170860445 @default.
- W2964751462 cites W2263203561 @default.
- W2964751462 cites W2314044709 @default.
- W2964751462 cites W2337330449 @default.
- W2964751462 cites W2408722859 @default.
- W2964751462 cites W2510872901 @default.
- W2964751462 cites W2516867193 @default.
- W2964751462 cites W2548522478 @default.
- W2964751462 cites W2610732028 @default.
- W2964751462 cites W2776274118 @default.
- W2964751462 cites W2782865993 @default.
- W2964751462 cites W2785828297 @default.
- W2964751462 cites W2806243300 @default.
- W2964751462 cites W2886054522 @default.
- W2964751462 cites W2887695003 @default.
- W2964751462 cites W740415 @default.
- W2964751462 doi "https://doi.org/10.1109/ccaa.2018.8777536" @default.
- W2964751462 hasPublicationYear "2018" @default.
- W2964751462 type Work @default.
- W2964751462 sameAs 2964751462 @default.
- W2964751462 citedByCount "2" @default.
- W2964751462 countsByYear W29647514622020 @default.
- W2964751462 countsByYear W29647514622022 @default.
- W2964751462 crossrefType "proceedings-article" @default.
- W2964751462 hasAuthorship W2964751462A5024464956 @default.
- W2964751462 hasAuthorship W2964751462A5062187021 @default.
- W2964751462 hasConcept C120665830 @default.
- W2964751462 hasConcept C121332964 @default.
- W2964751462 hasConcept C12267149 @default.
- W2964751462 hasConcept C125245961 @default.
- W2964751462 hasConcept C153180895 @default.
- W2964751462 hasConcept C154945302 @default.
- W2964751462 hasConcept C160633673 @default.
- W2964751462 hasConcept C3019497199 @default.
- W2964751462 hasConcept C31510193 @default.
- W2964751462 hasConcept C31972630 @default.
- W2964751462 hasConcept C33923547 @default.
- W2964751462 hasConcept C41008148 @default.
- W2964751462 hasConcept C42011625 @default.
- W2964751462 hasConcept C58166 @default.
- W2964751462 hasConcept C82990744 @default.
- W2964751462 hasConceptScore W2964751462C120665830 @default.
- W2964751462 hasConceptScore W2964751462C121332964 @default.
- W2964751462 hasConceptScore W2964751462C12267149 @default.
- W2964751462 hasConceptScore W2964751462C125245961 @default.
- W2964751462 hasConceptScore W2964751462C153180895 @default.
- W2964751462 hasConceptScore W2964751462C154945302 @default.
- W2964751462 hasConceptScore W2964751462C160633673 @default.
- W2964751462 hasConceptScore W2964751462C3019497199 @default.
- W2964751462 hasConceptScore W2964751462C31510193 @default.
- W2964751462 hasConceptScore W2964751462C31972630 @default.
- W2964751462 hasConceptScore W2964751462C33923547 @default.
- W2964751462 hasConceptScore W2964751462C41008148 @default.
- W2964751462 hasConceptScore W2964751462C42011625 @default.
- W2964751462 hasConceptScore W2964751462C58166 @default.
- W2964751462 hasConceptScore W2964751462C82990744 @default.
- W2964751462 hasLocation W29647514621 @default.
- W2964751462 hasOpenAccess W2964751462 @default.
- W2964751462 hasPrimaryLocation W29647514621 @default.
- W2964751462 hasRelatedWork W1540008975 @default.
- W2964751462 hasRelatedWork W1964437537 @default.
- W2964751462 hasRelatedWork W1971816722 @default.
- W2964751462 hasRelatedWork W2030303283 @default.
- W2964751462 hasRelatedWork W2099027612 @default.
- W2964751462 hasRelatedWork W2350380025 @default.
- W2964751462 hasRelatedWork W2542105186 @default.
- W2964751462 hasRelatedWork W2892192980 @default.
- W2964751462 hasRelatedWork W2920775274 @default.
- W2964751462 hasRelatedWork W3018618480 @default.
- W2964751462 isParatext "false" @default.
- W2964751462 isRetracted "false" @default.
- W2964751462 magId "2964751462" @default.