{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T07:43:44Z","timestamp":1769931824002,"version":"3.49.0"},"reference-count":117,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010629","name":"Fulbright Commission, S\u00e3o Paulo Research Foundation-FAPESP","doi-asserted-by":"publisher","award":["2018\/15597-6"],"award-info":[{"award-number":["2018\/15597-6"]}],"id":[{"id":"10.13039\/100010629","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010629","name":"Fulbright Commission, S\u00e3o Paulo Research Foundation-FAPESP","doi-asserted-by":"publisher","award":["2017\/25908-6"],"award-info":[{"award-number":["2017\/25908-6"]}],"id":[{"id":"10.13039\/100010629","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Brazilian National Council for Scientific and Technological Development-CNPq","doi-asserted-by":"publisher","award":["309439\/2020-5"],"award-info":[{"award-number":["309439\/2020-5"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Brazilian National Council for Scientific and Technological Development-CNPq","doi-asserted-by":"publisher","award":["422667\/2021-8"],"award-info":[{"award-number":["422667\/2021-8"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004225","name":"Petrobras","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004225","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation, USA","doi-asserted-by":"publisher","award":["IIS-1814745"],"award-info":[{"award-number":["IIS-1814745"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3268868","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T17:51:14Z","timestamp":1683913874000},"page":"2811-2826","source":"Crossref","is-referenced-by-count":12,"title":["Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3833-9072","authenticated-orcid":false,"given":"Lucas","family":"Pascotti Valem","sequence":"first","affiliation":[{"name":"Department of Statistics, Applied Mathematics and Computing, São Paulo State University, Rio Claro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2867-4838","authenticated-orcid":false,"given":"Daniel Carlos Guimar\u00e3es","family":"Pedronette","sequence":"additional","affiliation":[{"name":"Department of Statistics, Applied Mathematics and Computing, São Paulo State University, Rio Claro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5102-8244","authenticated-orcid":false,"given":"Longin Jan","family":"Latecki","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref57","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc 5th Int Conf Learn Represent (ICLR)"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"cortes","year":"1995","journal-title":"Mach Learn"},{"key":"ref59","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume":"97","author":"wu","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref58","article-title":"Graph attention networks","author":"velickovic","year":"2018","journal-title":"arXiv 1710 10903"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301273"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00225"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.41"},{"key":"ref45","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2021","journal-title":"arXiv 2010 11929"},{"key":"ref48","article-title":"Learning generalisable omni-scale representations for person re-identification","author":"zhou","year":"2019","journal-title":"arXiv 1910 06827"},{"key":"ref47","first-page":"197","article-title":"Shape retrieval using contour features and distance optmization","volume":"1","author":"pedronette","year":"2010","journal-title":"Proc VISAPP"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000042993.50813.60"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref49","first-page":"4467","article-title":"Dual path networks","author":"chen","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019087"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2709749"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00796"},{"key":"ref4","first-page":"161","article-title":"Modelling diffusion process by deep neural networks for image retrieval","author":"zhao","year":"2018","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref3","article-title":"Recent advance in content-based image retrieval: A literature survey","author":"zhou","year":"2017","journal-title":"arXiv 1706 06064"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2828815"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107666"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00737"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2939750"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.264"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.42"},{"key":"ref36","first-page":"1457","article-title":"Non-negative matrix factorization with sparseness constraints","volume":"5","author":"hoyer","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.10.013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540012"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_24"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.06.001"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855850"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.081"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.02.007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2807450"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00797"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2013.12.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3241053"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.01.004"},{"key":"ref28","first-page":"13","article-title":"Content-based image retrieval for Alzheimer’s disease detection","author":"agarwal","year":"2011","journal-title":"Proc 9th Int Workshop Content-Based Multimedia Indexing (CBMI)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2217397"},{"key":"ref29","first-page":"25932","article-title":"Re-ranking for image retrieval and transductive few-shot classification","volume":"34","author":"shen","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2920526"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.60"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging7030049"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.105"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16381"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206844"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_11"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.174"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01175"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.05.009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995373"},{"key":"ref19","first-page":"321","article-title":"Image retrieval with reciprocal and shared nearest neighbors","volume":"2","author":"delvinioti","year":"2014","journal-title":"Proc Int Conf Comput Vis Theory Appl (VISAPP)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.030"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_45"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00069"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00345"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2903058"},{"key":"ref91","article-title":"EANet: Enhancing alignment for cross-domain person re-identification","author":"huang","year":"2018","journal-title":"arXiv 1812 11369"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00054"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.3390\/a13120318"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.90"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2660244"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11216"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2021.103282"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2514498"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298783"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2845120"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1145\/2671188.2749289"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2346201"},{"key":"ref79","article-title":"MultiGrain: A unified image embedding for classes and instances","author":"berman","year":"2019","journal-title":"arXiv 1902 05509"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00375"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.002"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2018.5103"},{"key":"ref106","article-title":"Domain adaptive attention model for unsupervised cross-domain person re-identification","author":"huang","year":"2019","journal-title":"arXiv 1905 10529"},{"key":"ref107","article-title":"Attention: A big surprise for cross-domain person re-identification","author":"liu","year":"2019","journal-title":"arXiv 1905 12830"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3169\/mta.4.251"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01099"},{"key":"ref74","first-page":"5153","article-title":"Pairwise geometric matching for large-scale object retrieval","author":"li","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00110"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.03.032"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00195"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1016-8"},{"key":"ref103","first-page":"2723","article-title":"Learning to adapt invariance in memory for person re-identification","volume":"43","author":"zhong","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref2","article-title":"Deep image retrieval: A survey","author":"chen","year":"2021","journal-title":"arXiv 2101 11282"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1348246.1348248"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.07.004"},{"key":"ref111","article-title":"Fairest of them all: Establishing a strong baseline for cross-domain person ReID","author":"kumar","year":"2019","journal-title":"arXiv 1907 12016"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2330763"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00934"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.250"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.113"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0924-3"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.177"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412596"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.211"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3323873.3325022"},{"key":"ref115","first-page":"321","article-title":"Learning with local and global consistency","author":"zhou","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref63","first-page":"169","article-title":"Ranking on data manifolds","author":"zhou","year":"2003","journal-title":"Proc NeurIPS"},{"key":"ref116","first-page":"1972","article-title":"Learning discrete structures for graph neural networks","author":"franceschi","year":"2019","journal-title":"Proc 36th Conf Mach Learn"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/2671188.2749336"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2014.45"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.09.065"},{"key":"ref114","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume":"3","author":"lee","year":"2013","journal-title":"Proc Workshop Challenges Represent Learn (ICML)"},{"key":"ref60","first-page":"1","article-title":"Combining neural networks with personalized pagerank for classification on graphs","author":"klicpera","year":"2019","journal-title":"Proc 7th Int Conf Learn Represent"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247942"},{"key":"ref61","first-page":"3496","article-title":"Graph neural networks with convolutional ARMA filters","volume":"44","author":"bianchi","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/83\/9991910\/10124131-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10124131.pdf?arnumber=10124131","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:27:55Z","timestamp":1687199275000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10124131\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":117,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3268868","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}