{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:56:20Z","timestamp":1753602980792,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10649996","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs"],"prefix":"10.1109","author":[{"given":"Ke","family":"Han","sequence":"first","affiliation":[{"name":"Florida State University,Department of Statistics,Tallahassee,FL,United States"}]},{"given":"Adrian","family":"Barbu","sequence":"additional","affiliation":[{"name":"Florida State University,Department of Statistics,Tallahassee,FL,United States"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref2","first-page":"740","volume-title":"Microsoft COCO: Common Objects in Context","author":"Lin","year":"2013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref4","article-title":"Semi-supervised learning by entropy minimization","author":"Grandvalet","year":"2004","journal-title":"NeurIPS"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0209-z"},{"key":"ref6","article-title":"Matching networks for one shot learning","volume":"29","author":"Vinyals","year":"2016","journal-title":"NeurIPS"},{"key":"ref7","article-title":"Prototypical networks for few-shot learning","author":"Snell","year":"2017","journal-title":"NeurIPS"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3217373"},{"key":"ref9","article-title":"Optimization as a model for few-shot learning","author":"Ravi","year":"2016","journal-title":"ICLR"},{"key":"ref10","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"Finn","year":"2017","journal-title":"ICML"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00610"},{"article-title":"A closer look at few-shot classification","year":"2019","author":"Chen","key":"ref12"},{"article-title":"Meta-learning for semi-supervised few-shot classification","year":"2018","author":"Ren","key":"ref13"},{"article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","year":"2018","author":"Liu","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01285"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00863"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00855"},{"key":"ref18","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"NeurIPS"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","year":"2020","author":"Dosovitskiy","key":"ref19"},{"key":"ref20","first-page":"8583","article-title":"Scaling vision with sparse mixture of experts","volume":"34","author":"Riquelme","year":"2021","journal-title":"NeurIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00505"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BF01890115"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(78)90018-3"},{"article-title":"Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models","year":"2017","author":"Samek","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409064"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383272"},{"key":"ref28","article-title":"Visual concept learning: Combining machine vision and bayesian generalization on concept hierarchies","volume":"26","author":"Jia","year":"2013","journal-title":"NeurIPS"},{"key":"ref29","article-title":"Discriminative transfer learning with tree-based priors","volume":"26","author":"Srivastava","year":"2013","journal-title":"NeurIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00196"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/14786440109462720"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1037\/h0071325"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/089976699300016728"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref35","first-page":"1027","article-title":"K-means++ the advantages of careful seeding","volume-title":"ACM-SIAM symposium on Discrete algorithms","author":"Arthur"},{"article-title":"On the generalized distance in statistics","year":"1936","author":"Mahalanobis","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020330"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/10485252.2024.2359057"},{"key":"ref39","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021","journal-title":"ICML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19836-6_26"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10649996.pdf?arnumber=10649996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T04:54:04Z","timestamp":1725944044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10649996\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10649996","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}