{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:16Z","timestamp":1740169096908,"version":"3.37.3"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61822201","61502021"],"award-info":[{"award-number":["61822201","61502021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2879011","type":"journal-article","created":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T01:45:30Z","timestamp":1541468730000},"page":"73191-73199","source":"Crossref","is-referenced-by-count":0,"title":["CPCA: A Feature Semantics Based Crowd Dimension Reduction Framework"],"prefix":"10.1109","volume":"6","author":[{"given":"Yuanyuan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4157-9931","authenticated-orcid":false,"given":"Jie","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196929"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749430"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.14778\/2994509.2994523"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498228"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2797962"},{"key":"ref10","first-page":"2725","article-title":"Feature selection guided auto-encoder","author":"wang","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref11","article-title":"Inferring users&#x2019; preferences from crowdsourced pairwise comparisons: A matrix completion approach","author":"yi","year":"2013","journal-title":"Proc 1st AAAI Conf Hum Comput Crowdsourcing (HCOMP)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3035960"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749431"},{"key":"ref14","first-page":"268","article-title":"Data-driven machine learning approach for predicting missing values in large data sets: A comparison study","author":"elezaj","year":"2017","journal-title":"Proc Int Workshop Mach Learn Optim Big Data"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.14778\/3055540.3055547"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2_455"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00037"},{"key":"ref19","first-page":"551","article-title":"Consistent covariance selection from data with missing values","author":"kolar","year":"2012","journal-title":"Proc 29th Int Conf Mach Learn (ICML)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref4","first-page":"633","article-title":"Sparse kernel principal component analysis","author":"tipping","year":"2000","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.14778\/2856318.2856331"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2422994"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1007\/s00778-013-0324-z","article-title":"Large-scale linked data integration using probabilistic reasoning and crowdsourcing","volume":"22","author":"demartini","year":"2013","journal-title":"J Very Large Data Bases"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2405474"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2746539.2746569"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2375327"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.09.058"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/2200000059"},{"key":"ref1","first-page":"2859","article-title":"Linear dimensionality reduction: Survey, insights, and generalizations","volume":"16","author":"cunningham","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref20","first-page":"2704","article-title":"ST-MVL: Filling missing values in Geo-sensory time series data","author":"yi","year":"2016","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref22","first-page":"3174","article-title":"The fast convergence of incremental PCA","author":"balsubramani","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/NNSP.1999.788121"},{"key":"ref24","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 26th Annu Conf Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"2315","article-title":"Stochastic optimization for kernel PCA","author":"zhang","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2017.26"},{"key":"ref25","first-page":"132","article-title":"Random projected convolutional feature for scene text recognition","author":"wu","year":"2016","journal-title":"Intl Conf on Frontiers in Handwriting Recognition (ICFHR)"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08519735.pdf?arnumber=8519735","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T16:07:12Z","timestamp":1643299632000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8519735\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2879011","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2018]]}}}