{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T17:20:43Z","timestamp":1729617643079,"version":"3.28.0"},"reference-count":46,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,26]]},"DOI":"10.1109\/iccicc50026.2020.9450256","type":"proceedings-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T20:42:15Z","timestamp":1623703335000},"page":"150-157","source":"Crossref","is-referenced-by-count":0,"title":["Modeling Brain-like Association Among Focal Visual Objects by a Bipartite Mesh"],"prefix":"10.1109","author":[{"given":"Jinxin","family":"Yang","sequence":"first","affiliation":[]},{"given":"Xin","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Yufei","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Wen-Chi","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219745"},{"journal-title":"Semantic networks","year":"1987","author":"sowa","key":"ref38"},{"key":"ref33","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume":"70","author":"finn","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00969"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24261-3_7"},{"key":"ref37","article-title":"Introducing the knowledge graph: things, not strings","volume":"16","author":"singhal","year":"2012","journal-title":"The Official Google Blog"},{"journal-title":"Optimization as a model for few-shot learning","year":"2016","author":"ravi","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/11893028_21"},{"key":"ref34","article-title":"On first-order meta-learning algorithms","author":"nichol","year":"2018","journal-title":"arXiv preprint arXiv 1803 02999"},{"key":"ref10","first-page":"3861","article-title":"Towards k-means-friendly spaces: Simultaneous deep learning and clustering","volume":"70","author":"yang","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"ref11","first-page":"132","article-title":"Deep clustering for unsupervised learning of visual features","author":"caron","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref12","first-page":"18","article-title":"Associative deep clustering: Training a classification network with no labels","author":"haeusser","year":"2018","journal-title":"German Conference on Pattern Recognition"},{"key":"ref13","article-title":"Knowledge graph transfer network for few-shot recognition","author":"chen","year":"2019","journal-title":"arXiv preprint arXiv 1911 12945"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00053"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00738"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref17","article-title":"Siamese neural networks for one-shot image recognition","volume":"2","author":"koch","year":"2015","journal-title":"ICML Deep Learning Workshop"},{"key":"ref18","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref28","article-title":"One-shot learning with memory-augmented neural networks","author":"santoro","year":"2016","journal-title":"arXiv preprint arXiv 1605 06636"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","article-title":"Few-shot learning with graph neural networks","author":"garcia","year":"2017","journal-title":"arXiv preprint arXiv 1711 04598"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref6","article-title":"One shot learning of simple visual concepts","volume":"33","author":"lake","year":"2011","journal-title":"Proceedings of the Annual Meeting of the Cognitive Science Society"},{"key":"ref29","article-title":"A simple neural attentive meta-learner","author":"mishra","year":"2017","journal-title":"arXiv preprint arXiv 1707 03374"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref8","first-page":"73","article-title":"Analogical reasoning in children","author":"goswami","year":"2007","journal-title":"Children&#x2019;s Learning in Laboratory and Classroom Contexts"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/09297049.2017.1316974"},{"key":"ref2","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/wcs.96"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2017.02124"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546038"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2002.802926"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0037(200010)36:3<156::AID-NET2>3.0.CO;2-L"},{"key":"ref22","volume":"34","author":"allen","year":"2012","journal-title":"Robotic Object Recognition Using Vision and Touch"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2038-x"},{"key":"ref42","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v24i1.7519","article-title":"Toward an architecture for never-ending language learning","author":"carlson","year":"2010","journal-title":"Twenty-Fourth AAAI Conference on Artificial Intelligence"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201309"},{"key":"ref41","first-page":"697","article-title":"Yago: A core of semantic knowledge unifying wordnet and wikipedia","author":"fabian","year":"2007","journal-title":"WWW '07 16th International Conference on World Wide Web"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3342220.3344931"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00411"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2008.03.004"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_23"}],"event":{"name":"2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","start":{"date-parts":[[2020,9,26]]},"location":"Beijing, China","end":{"date-parts":[[2020,9,28]]}},"container-title":["2020 IEEE 19th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9450047\/9450212\/09450256.pdf?arnumber=9450256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T03:21:33Z","timestamp":1672456893000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9450256\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,26]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/iccicc50026.2020.9450256","relation":{},"subject":[],"published":{"date-parts":[[2020,9,26]]}}}