{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:51:06Z","timestamp":1767340266237,"version":"3.37.3"},"reference-count":13,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T00:00:00Z","timestamp":1531094400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Yunnan Provincial Education Department","award":["2018JS143","61462097"],"award-info":[{"award-number":["2018JS143","61462097"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation China","doi-asserted-by":"crossref","award":["2018JS143","61462097"],"award-info":[{"award-number":["2018JS143","61462097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2018,7,9]]},"abstract":"<jats:p>Many types of deep neural networks have been proposed to address the problem of human biometric identification, especially in the areas of face detection and recognition. Local deep neural networks have been recently used in face-based age and gender classification, despite their improvement in performance, their costs on model training is rather expensive. In this paper, we propose to construct a local deep neural network for age and gender classification. In our proposed model, local image patches are selected based on the detected facial landmarks; the selected patches are then used for the network training. A holistical edge map for an entire image is also used for training a \u201cglobal\u201d network. The age and gender classification results are obtained by combining both the outputs from both the \u201cglobal\u201d and the local networks. Our proposed model is tested on two face image benchmark datasets; competitive performance is obtained compared to the state-of-the-art methods.<\/jats:p>","DOI":"10.1155\/2018\/5034684","type":"journal-article","created":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T19:32:24Z","timestamp":1531164744000},"page":"1-10","source":"Crossref","is-referenced-by-count":12,"title":["Landmark-Guided Local Deep Neural Networks for Age and Gender Classification"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8279-3109","authenticated-orcid":true,"given":"Yungang","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer Science, Yunnan Normal University, Kunming, Yunnan 650500, China"}]},{"given":"Tianwei","family":"Xu","sequence":"additional","affiliation":[{"name":"Graduate School, Yunnan Normal University, Kunming, Yunnan 650500, China"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00073-9"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000244"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1261097"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.05.016"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2242063"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.11.015"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0940-3"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2695456"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1109\/34.982883"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1145\/954339.954342"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054142"},{"key":"41","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359646"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/5034684.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/5034684.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/5034684.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T19:32:31Z","timestamp":1531164751000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2018\/5034684\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,9]]},"references-count":13,"alternative-id":["5034684","5034684"],"URL":"https:\/\/doi.org\/10.1155\/2018\/5034684","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2018,7,9]]}}}