Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080909422> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W2080909422 abstract "According to some certain criteria, active learning algorithm selects the most informative samples from the unlabeled sample sets for human experts to label, then the labeled samples, called the training set, are used to train a model for image classification or image annotation. In this way, it not only decreases the efforts of manual labeling randomly, but also reduces the sample complexity and may speeds up the learning process of image classification model. After many years developed and researched, we have accumulated fruitful research results in active learning. In this paper, we make a literature survey of active learning in multimedia annotation and retrieval. Firstly, we briefly introduce the basic principle of active learning and then analyze some sample selection strategies. Furthermore, we introduce the state of the art of active learning algorithms, which include the combination of active learning with semi-supervised learning, multi-label learning, multi-instance learning and incremental learning respectively. Finally, we throw out some open problems on active learning." @default.
- W2080909422 created "2016-06-24" @default.
- W2080909422 creator A5011534926 @default.
- W2080909422 creator A5014712849 @default.
- W2080909422 creator A5064487358 @default.
- W2080909422 date "2013-08-17" @default.
- W2080909422 modified "2023-09-24" @default.
- W2080909422 title "Literature survey of active learning in multimedia annotation and retrieval" @default.
- W2080909422 cites W1479807131 @default.
- W2080909422 cites W1553262910 @default.
- W2080909422 cites W1967447455 @default.
- W2080909422 cites W1972508834 @default.
- W2080909422 cites W1978633512 @default.
- W2080909422 cites W1988732650 @default.
- W2080909422 cites W1999501864 @default.
- W2080909422 cites W2013318133 @default.
- W2080909422 cites W2032355985 @default.
- W2080909422 cites W2040615194 @default.
- W2080909422 cites W2053463056 @default.
- W2080909422 cites W2096623936 @default.
- W2080909422 cites W2110119381 @default.
- W2080909422 cites W2119970716 @default.
- W2080909422 cites W2124244761 @default.
- W2080909422 cites W2143854982 @default.
- W2080909422 cites W2162977472 @default.
- W2080909422 doi "https://doi.org/10.1145/2499788.2499794" @default.
- W2080909422 hasPublicationYear "2013" @default.
- W2080909422 type Work @default.
- W2080909422 sameAs 2080909422 @default.
- W2080909422 citedByCount "4" @default.
- W2080909422 countsByYear W20809094222021 @default.
- W2080909422 countsByYear W20809094222023 @default.
- W2080909422 crossrefType "proceedings-article" @default.
- W2080909422 hasAuthorship W2080909422A5011534926 @default.
- W2080909422 hasAuthorship W2080909422A5014712849 @default.
- W2080909422 hasAuthorship W2080909422A5064487358 @default.
- W2080909422 hasConcept C154945302 @default.
- W2080909422 hasConcept C23123220 @default.
- W2080909422 hasConcept C2776321320 @default.
- W2080909422 hasConcept C41008148 @default.
- W2080909422 hasConcept C49774154 @default.
- W2080909422 hasConceptScore W2080909422C154945302 @default.
- W2080909422 hasConceptScore W2080909422C23123220 @default.
- W2080909422 hasConceptScore W2080909422C2776321320 @default.
- W2080909422 hasConceptScore W2080909422C41008148 @default.
- W2080909422 hasConceptScore W2080909422C49774154 @default.
- W2080909422 hasFunder F4320321001 @default.
- W2080909422 hasLocation W20809094221 @default.
- W2080909422 hasOpenAccess W2080909422 @default.
- W2080909422 hasPrimaryLocation W20809094221 @default.
- W2080909422 hasRelatedWork W151193258 @default.
- W2080909422 hasRelatedWork W1529400504 @default.
- W2080909422 hasRelatedWork W1892467659 @default.
- W2080909422 hasRelatedWork W1995797790 @default.
- W2080909422 hasRelatedWork W2020291234 @default.
- W2080909422 hasRelatedWork W2133880238 @default.
- W2080909422 hasRelatedWork W2355862304 @default.
- W2080909422 hasRelatedWork W2472885054 @default.
- W2080909422 hasRelatedWork W2999699891 @default.
- W2080909422 hasRelatedWork W3214915308 @default.
- W2080909422 isParatext "false" @default.
- W2080909422 isRetracted "false" @default.
- W2080909422 magId "2080909422" @default.
- W2080909422 workType "article" @default.