{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T10:45:15Z","timestamp":1753440315367,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/ivcnz.2018.8634796","type":"proceedings-article","created":{"date-parts":[[2019,2,7]],"date-time":"2019-02-07T18:58:41Z","timestamp":1549565921000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Fine-grained Collaborative K-Means Clustering"],"prefix":"10.1109","author":[{"given":"Tapabrata","family":"Chakraborti","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brendan","family":"McCane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Mills","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00357-001-0004-3"},{"journal-title":"Algorithms for clustering data","year":"1998","author":"jain","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.039"},{"key":"ref13","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc ACM Int Conf Knowledge Discovery and Data Mining"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2559803"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.10"},{"key":"ref16","article-title":"CoCoNet: Collaborative ConvNet for deep transfer learning of fine-grained classes","author":"chakraborti","year":"2018","journal-title":"Pattern Recognition Letters"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5244\/C.18.98"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref19","first-page":"145","article-title":"Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope","volume":"42","author":"oliva","year":"2001","journal-title":"IVCV"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72079-9_9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IVCNZ.2016.7804421"},{"key":"ref6","article-title":"A Generalized Formulation for Collaborative Representation of Image Patches (GP-CRC)","author":"chakraborti","year":"2017","journal-title":"Proc BMVC"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126277"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2817176"},{"key":"ref2","article-title":"Fine-grained Recognition Datasets for Biodiversity Analysis","author":"rodner","year":"2015","journal-title":"Proc CVPR"},{"key":"ref1","article-title":"Advances in Fine-grained Visual Categorization","author":"chai","year":"2015","journal-title":"Oxford University"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.04.008"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref22","first-page":"2837","article-title":"Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance","volume":"11","author":"vinh","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref21","first-page":"336","article-title":"Inverting modified matrices","volume":"42","author":"woodbury","year":"1950","journal-title":"Memorandum report"}],"event":{"name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","start":{"date-parts":[[2018,11,19]]},"location":"Auckland, New Zealand","end":{"date-parts":[[2018,11,21]]}},"container-title":["2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8625178\/8634645\/08634796.pdf?arnumber=8634796","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T17:27:37Z","timestamp":1643218057000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8634796\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ivcnz.2018.8634796","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}