Matches in SemOpenAlex for { <https://semopenalex.org/work/W3091178504> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3091178504 abstract "This paper proposes the use of an artificial immune systems (AIS) to obtain the values of hyperparameters of networks such as the kernel parameter of the support vector machines (SVM) in object tracking and weighting factor of the loss term in object segmentation. The proposed iterative AIS method is generic to extend to other image processing tasks by formulating a corresponding objective function (fitness). We verify our method on the STRUCK method that uses SVM to track objects. Depending on feature variations between video frames, our AIS approach incorporates a complementary SVM model to select the SVM parameters for the main SVM model, where our AIS stopping criteria are classification accuracy and number of iterations. We then apply our AIS method to find the parameters that simultaneously minimize both false positives and false negatives of the object segmentation method Graph-Cut. Our results show that our AIS approach achieves significant enhancement of Graph-Cut segmentation accuracy and of STRUCK tracking quality." @default.
- W3091178504 created "2020-10-08" @default.
- W3091178504 creator A5015091551 @default.
- W3091178504 creator A5086415850 @default.
- W3091178504 date "2020-10-01" @default.
- W3091178504 modified "2023-10-16" @default.
- W3091178504 title "Optimization Using Artificial Immune Systems Applied To Object Tracking And Segmentation" @default.
- W3091178504 cites W116873387 @default.
- W3091178504 cites W1992962845 @default.
- W3091178504 cites W2013172515 @default.
- W3091178504 cites W2039313011 @default.
- W3091178504 cites W2053727222 @default.
- W3091178504 cites W2069457154 @default.
- W3091178504 cites W2089961441 @default.
- W3091178504 cites W2093272700 @default.
- W3091178504 cites W2093626865 @default.
- W3091178504 cites W2098941887 @default.
- W3091178504 cites W2100888700 @default.
- W3091178504 cites W2116008099 @default.
- W3091178504 cites W2118012246 @default.
- W3091178504 cites W2154889144 @default.
- W3091178504 cites W2164934768 @default.
- W3091178504 cites W2169551590 @default.
- W3091178504 cites W2343187456 @default.
- W3091178504 cites W2963756292 @default.
- W3091178504 cites W2964111344 @default.
- W3091178504 cites W11219134 @default.
- W3091178504 doi "https://doi.org/10.1109/icip40778.2020.9191078" @default.
- W3091178504 hasPublicationYear "2020" @default.
- W3091178504 type Work @default.
- W3091178504 sameAs 3091178504 @default.
- W3091178504 citedByCount "0" @default.
- W3091178504 crossrefType "proceedings-article" @default.
- W3091178504 hasAuthorship W3091178504A5015091551 @default.
- W3091178504 hasAuthorship W3091178504A5086415850 @default.
- W3091178504 hasConcept C114614502 @default.
- W3091178504 hasConcept C12267149 @default.
- W3091178504 hasConcept C124504099 @default.
- W3091178504 hasConcept C126838900 @default.
- W3091178504 hasConcept C132525143 @default.
- W3091178504 hasConcept C153180895 @default.
- W3091178504 hasConcept C154945302 @default.
- W3091178504 hasConcept C183115368 @default.
- W3091178504 hasConcept C202474056 @default.
- W3091178504 hasConcept C2776151529 @default.
- W3091178504 hasConcept C2781238097 @default.
- W3091178504 hasConcept C31972630 @default.
- W3091178504 hasConcept C33923547 @default.
- W3091178504 hasConcept C41008148 @default.
- W3091178504 hasConcept C71924100 @default.
- W3091178504 hasConcept C74193536 @default.
- W3091178504 hasConcept C80444323 @default.
- W3091178504 hasConcept C89600930 @default.
- W3091178504 hasConcept C93768804 @default.
- W3091178504 hasConceptScore W3091178504C114614502 @default.
- W3091178504 hasConceptScore W3091178504C12267149 @default.
- W3091178504 hasConceptScore W3091178504C124504099 @default.
- W3091178504 hasConceptScore W3091178504C126838900 @default.
- W3091178504 hasConceptScore W3091178504C132525143 @default.
- W3091178504 hasConceptScore W3091178504C153180895 @default.
- W3091178504 hasConceptScore W3091178504C154945302 @default.
- W3091178504 hasConceptScore W3091178504C183115368 @default.
- W3091178504 hasConceptScore W3091178504C202474056 @default.
- W3091178504 hasConceptScore W3091178504C2776151529 @default.
- W3091178504 hasConceptScore W3091178504C2781238097 @default.
- W3091178504 hasConceptScore W3091178504C31972630 @default.
- W3091178504 hasConceptScore W3091178504C33923547 @default.
- W3091178504 hasConceptScore W3091178504C41008148 @default.
- W3091178504 hasConceptScore W3091178504C71924100 @default.
- W3091178504 hasConceptScore W3091178504C74193536 @default.
- W3091178504 hasConceptScore W3091178504C80444323 @default.
- W3091178504 hasConceptScore W3091178504C89600930 @default.
- W3091178504 hasConceptScore W3091178504C93768804 @default.
- W3091178504 hasLocation W30911785041 @default.
- W3091178504 hasOpenAccess W3091178504 @default.
- W3091178504 hasPrimaryLocation W30911785041 @default.
- W3091178504 hasRelatedWork W11130107 @default.
- W3091178504 hasRelatedWork W12703013 @default.
- W3091178504 hasRelatedWork W13991713 @default.
- W3091178504 hasRelatedWork W274842 @default.
- W3091178504 hasRelatedWork W4044073 @default.
- W3091178504 hasRelatedWork W4574224 @default.
- W3091178504 hasRelatedWork W5955599 @default.
- W3091178504 hasRelatedWork W7433150 @default.
- W3091178504 hasRelatedWork W8031603 @default.
- W3091178504 hasRelatedWork W3000238 @default.
- W3091178504 isParatext "false" @default.
- W3091178504 isRetracted "false" @default.
- W3091178504 magId "3091178504" @default.
- W3091178504 workType "article" @default.