{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:23:25Z","timestamp":1763191405520,"version":"3.45.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228095","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Prior Enhancement Strategy Based on MAP for Few-shot Image Classification"],"prefix":"10.1109","author":[{"given":"Zheng","family":"Huang","sequence":"first","affiliation":[{"name":"Jiangsu Ocean University,Jiangsu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaying","family":"Wu","sequence":"additional","affiliation":[{"name":"Jiangsu Ocean University,Jiangsu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Jiangsu Ocean University,Jiangsu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoman","family":"Zhong","sequence":"additional","affiliation":[{"name":"Jiangsu Ocean University,Jiangsu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Can","family":"Gao","sequence":"additional","affiliation":[{"name":"Jiangsu Ocean University,Jiangsu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref2","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"International conference on machine learning","author":"Finn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref4","article-title":"Meta-adam: An meta-learned adaptive optimizer with momentum for few-shot learning","volume":"36","author":"Sun","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i2.27862"},{"article-title":"Meta-learning with latent embedding optimization","year":"2018","author":"Rusu","key":"ref6"},{"key":"ref7","first-page":"3582","article-title":"Rethinking generalization in few-shot classification","volume":"35","author":"Hiller","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref9","article-title":"Matching networks for one shot learning","volume":"29","author":"Vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00881"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107129"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02258"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3460426.3463641"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02701"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104757"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107129"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00893"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25150"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_19"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01733"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01085"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26016"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","year":"2020","author":"Dosovitskiy","key":"ref24"},{"issue":"1","key":"ref25","article-title":"Improving your data transformations: Applying the box-cox transformation","volume":"15","author":"Osborne","year":"2010","journal-title":"Practical Assessment, Research, and Evaluation"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00641"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00930"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3241919"},{"key":"ref29","article-title":"Tadam: Task dependent adaptive metric for improved few-shot learning","volume":"31","author":"Oreshkin","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_35"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_16"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00069"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01345"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref34"},{"article-title":"Meta-learning for semi-supervised few-shot classification","year":"2018","author":"Ren","key":"ref35"},{"article-title":"Meta-learning with differentiable closed-form solvers","year":"2018","author":"Bertinetto","key":"ref36"},{"issue":"11","key":"ref37","article-title":"Visualizing data using tsne","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"Journal of machine learning research"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228095.pdf?arnumber=11228095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:19:59Z","timestamp":1763191199000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228095\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228095","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}