Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387027567> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4387027567 abstract "The use of evolutionary strategies in generating images is a common practice within the computational art community. In particular, a popular approach is to approximate a target image using overlapping, semi-transparent shapes and optimizing their attributes to increase similarity to the target image. However, existing methods usually require millions of fitness evaluations to construct good approximations. Within the evolutionary computation and machine learning communities, the use of surrogates has shown to decrease the number of fitness evaluations while achieving state-of-the-art results. Despite the gained traction of surrogate-assisted algorithms, their use within the computational art community is nonexistent. To address this, we extend the previous work of Bayesian Optimization by density-ratio estimation (BORE) to the image approximation task. By estimating the probability of improvement acquisition function using a convolutional probabilistic classifier, we search for solutions that maximize the acquisition function using an evolutionary strategy. By conducting experiments on six different styled target images, we demonstrate the superior performance achieved with the use of surrogate assistance." @default.
- W4387027567 created "2023-09-26" @default.
- W4387027567 creator A5004535511 @default.
- W4387027567 creator A5017100408 @default.
- W4387027567 creator A5083702949 @default.
- W4387027567 date "2023-07-01" @default.
- W4387027567 modified "2023-09-26" @default.
- W4387027567 title "A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation" @default.
- W4387027567 cites W1484867920 @default.
- W4387027567 cites W1510052597 @default.
- W4387027567 cites W1531865490 @default.
- W4387027567 cites W1576660662 @default.
- W4387027567 cites W2011174137 @default.
- W4387027567 cites W2012451526 @default.
- W4387027567 cites W2025720061 @default.
- W4387027567 cites W2050462717 @default.
- W4387027567 cites W2051434435 @default.
- W4387027567 cites W2078291675 @default.
- W4387027567 cites W2112796928 @default.
- W4387027567 cites W2129142013 @default.
- W4387027567 cites W2192203593 @default.
- W4387027567 cites W2302255633 @default.
- W4387027567 cites W2334856263 @default.
- W4387027567 cites W2493566497 @default.
- W4387027567 cites W2782801508 @default.
- W4387027567 cites W2790845983 @default.
- W4387027567 cites W2937978149 @default.
- W4387027567 cites W2947137917 @default.
- W4387027567 cites W2964081807 @default.
- W4387027567 cites W2989696148 @default.
- W4387027567 cites W2998264770 @default.
- W4387027567 cites W3016550207 @default.
- W4387027567 cites W3017751871 @default.
- W4387027567 cites W3090366022 @default.
- W4387027567 cites W3168997536 @default.
- W4387027567 cites W3199229282 @default.
- W4387027567 cites W3215001672 @default.
- W4387027567 cites W4249517230 @default.
- W4387027567 doi "https://doi.org/10.1109/cec53210.2023.10254060" @default.
- W4387027567 hasPublicationYear "2023" @default.
- W4387027567 type Work @default.
- W4387027567 citedByCount "0" @default.
- W4387027567 crossrefType "proceedings-article" @default.
- W4387027567 hasAuthorship W4387027567A5004535511 @default.
- W4387027567 hasAuthorship W4387027567A5017100408 @default.
- W4387027567 hasAuthorship W4387027567A5083702949 @default.
- W4387027567 hasConcept C105902424 @default.
- W4387027567 hasConcept C11413529 @default.
- W4387027567 hasConcept C115961682 @default.
- W4387027567 hasConcept C119857082 @default.
- W4387027567 hasConcept C126255220 @default.
- W4387027567 hasConcept C148392497 @default.
- W4387027567 hasConcept C154945302 @default.
- W4387027567 hasConcept C159149176 @default.
- W4387027567 hasConcept C162500139 @default.
- W4387027567 hasConcept C176066374 @default.
- W4387027567 hasConcept C2778049539 @default.
- W4387027567 hasConcept C33923547 @default.
- W4387027567 hasConcept C41008148 @default.
- W4387027567 hasConcept C45374587 @default.
- W4387027567 hasConcept C49937458 @default.
- W4387027567 hasConcept C8880873 @default.
- W4387027567 hasConceptScore W4387027567C105902424 @default.
- W4387027567 hasConceptScore W4387027567C11413529 @default.
- W4387027567 hasConceptScore W4387027567C115961682 @default.
- W4387027567 hasConceptScore W4387027567C119857082 @default.
- W4387027567 hasConceptScore W4387027567C126255220 @default.
- W4387027567 hasConceptScore W4387027567C148392497 @default.
- W4387027567 hasConceptScore W4387027567C154945302 @default.
- W4387027567 hasConceptScore W4387027567C159149176 @default.
- W4387027567 hasConceptScore W4387027567C162500139 @default.
- W4387027567 hasConceptScore W4387027567C176066374 @default.
- W4387027567 hasConceptScore W4387027567C2778049539 @default.
- W4387027567 hasConceptScore W4387027567C33923547 @default.
- W4387027567 hasConceptScore W4387027567C41008148 @default.
- W4387027567 hasConceptScore W4387027567C45374587 @default.
- W4387027567 hasConceptScore W4387027567C49937458 @default.
- W4387027567 hasConceptScore W4387027567C8880873 @default.
- W4387027567 hasLocation W43870275671 @default.
- W4387027567 hasOpenAccess W4387027567 @default.
- W4387027567 hasPrimaryLocation W43870275671 @default.
- W4387027567 hasRelatedWork W1495021568 @default.
- W4387027567 hasRelatedWork W1591657267 @default.
- W4387027567 hasRelatedWork W1606502848 @default.
- W4387027567 hasRelatedWork W2012451526 @default.
- W4387027567 hasRelatedWork W2090711451 @default.
- W4387027567 hasRelatedWork W2164084664 @default.
- W4387027567 hasRelatedWork W2893733063 @default.
- W4387027567 hasRelatedWork W4387027567 @default.
- W4387027567 hasRelatedWork W52662779 @default.
- W4387027567 hasRelatedWork W2524652615 @default.
- W4387027567 isParatext "false" @default.
- W4387027567 isRetracted "false" @default.
- W4387027567 workType "article" @default.