{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:09:36Z","timestamp":1730200176465,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9672024","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T15:39:16Z","timestamp":1642088356000},"page":"3841-3852","source":"Crossref","is-referenced-by-count":2,"title":["Combining Geometric and Topological Information for Boundary Estimation"],"prefix":"10.1109","author":[{"given":"Hengrui","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Justin","family":"Strait","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671525"},{"key":"ref33","first-page":"2786","article-title":"Perslay: A neural network layer for persistence diagrams and new graph topological signatures","author":"carri\u00e8re","year":"2020","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"article-title":"Non-smooth bayesian optimization in tuning problems","year":"2021","author":"luo","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1034\/j.1600-0404.2002.01319.x"},{"key":"ref30","first-page":"133","article-title":"From contours to ground truth: How to evaluate edge detectors by filtering","volume":"25","author":"abdulrahman","year":"2017","journal-title":"Journal of WSCG"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/100800245"},{"key":"ref36","article-title":"Multiple-output gaussian process modeling of shapes and its applications","author":"luo","year":"2021","journal-title":"in preparation"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3934\/fods.2021024"},{"key":"ref34","first-page":"5657","article-title":"Topology-preserving deep image segmentation","author":"hu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"861","article-title":"Learning context sensitive shape similarity by graph transduction","volume":"32","author":"bai","year":"2009","journal-title":"IEEE Transactions in Pattern Analysis and Machine Intelligence"},{"key":"ref11","first-page":"884","article-title":"Region competition: Unifying snakes, region growing, and bayes\/mdl for multi-band image segmentation","volume":"9","author":"zhu","year":"1996","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160420503"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177013696"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/9781119072492"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1972.5008949"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/S0036139995287685"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383185"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.184"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38868-2_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363547"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.07.001"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-4020-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1090\/S0273-0979-09-01249-X"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-012-9149-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1112\/blms\/16.2.81"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383228"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0179-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00169-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74272-2_73"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1995.537578"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_7"},{"key":"ref22","first-page":"1","article-title":"Asymptotics of lower dimensional zero-density regions","author":"luo","year":"2020","journal-title":"arXiv 2006 02568"},{"key":"ref21","article-title":"A topological loss function for deep-learning based image segmentation using persistent homology","author":"clough","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00454-006-1276-5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1810959.1810989"},{"key":"ref26","first-page":"312","article-title":"Bayesian active contours with a?ne-invariant, elastic shape prior","author":"bryner","year":"2014","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.699770"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09672024.pdf?arnumber=9672024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:55:34Z","timestamp":1652187334000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9672024\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9672024","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}