{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:08:25Z","timestamp":1743152905321,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319959566"},{"type":"electronic","value":"9783319959573"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-95957-3_24","type":"book-chapter","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T07:31:20Z","timestamp":1530775880000},"page":"223-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Simple and Effective Deep Model for Person Re-identification"],"prefix":"10.1007","author":[{"given":"Si-Jia","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang-An","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"De-Shuang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"24_CR1","unstructured":"Huang, D.S.: Systematic Theory of Neural Networks for Pattern Recognition. Publishing House of Electronic Industry of China (1996). (in Chinese)"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Yi, D., et al.: Deep metric learning for person re-identification. In: 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, pp. 34\u201339 (2014)","DOI":"10.1109\/ICPR.2014.16"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Jin, H., et al.: Deep Person Re-Identification with Improved Embedding and Efficient Training (2017)","DOI":"10.1109\/BTAS.2017.8272706"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Xiao, T., et al.: Joint Detection and Identification Feature Learning for Person Search (2017)","DOI":"10.1109\/CVPR.2017.360"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Xiao, T., et al.: Learning deep feature representations with domain guided dropout for person re-identification. In: Computer Vision and Pattern Recognition, pp. 1249\u20131258 (2016)","DOI":"10.1109\/CVPR.2016.140"},{"issue":"07","key":"24_CR6","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1142\/S0218001499000604","volume":"13","author":"DS Huang","year":"1999","unstructured":"Huang, D.S.: Radial basis probabilistic neural networks: model and application. Int. J. Pattern Recognit. Artif. Intell. 13(07), 1083\u20131101 (1999)","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"issue":"12","key":"24_CR7","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1016\/j.patrec.2004.05.008","volume":"25","author":"ZQ Zhao","year":"2004","unstructured":"Zhao, Z.Q., Huang, D.S., et al.: Human face recognition based on multi-features using neural networks committee. Pattern Recogn. Lett. 25(12), 1351\u20131358 (2004)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"24_CR8","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1016\/j.amc.2003.12.105","volume":"162","author":"De-Shuang Huang","year":"2005","unstructured":"Huang, D.S., Zhao, W.B.: Determining the Centers of Radial Basis Probabilistic Neural Networks by Recursive Orthogonal Least Square Algorithms \u2606. Elsevier Science Inc. (2005)","journal-title":"Applied Mathematics and Computation"},{"issue":"12","key":"24_CR9","doi-asserted-by":"publisher","first-page":"2099","DOI":"10.1109\/TNN.2008.2004370","volume":"19","author":"DS Huang","year":"2008","unstructured":"Huang, D.S., Du, J.-X.: A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks. IEEE Trans. Neural Networks 19(12), 2099\u20132115 (2008)","journal-title":"IEEE Trans. Neural Networks"},{"key":"24_CR10","unstructured":"Zhong, Z., et al.: Random erasing data augmentation (2017)"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Wei, L., et al.: Person transfer GAN to bridge domain gap for person re-identification (2017)","DOI":"10.1109\/CVPR.2018.00016"},{"key":"24_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-3-319-46478-7_31","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y Wen","year":"2016","unstructured":"Wen, Y., Zhang, K., Li, Z., Qiao, Yu.: A discriminative feature learning approach for deep face recognition. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 499\u2013515. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46478-7_31"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Zhong, Z., et al.: Re-ranking person re-identification with k-reciprocal encoding. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3652\u20133661 (2017)","DOI":"10.1109\/CVPR.2017.389"},{"issue":"5","key":"24_CR14","doi-asserted-by":"publisher","first-page":"1489","DOI":"10.1109\/TSMCB.2012.2192475","volume":"42","author":"DS Huang","year":"2012","unstructured":"Huang, D.S., Jiang, W.: A general CPL-AdS methodology for fixing dynamic parameters in dual environments. IEEE Trans. Syst. Man Cybern. Part B 42(5), 1489\u20131500 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Schumann, A., Stiefelhagen, R.: Person re-identification by deep learning attribute-complementary information. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1435\u20131443 (2017)","DOI":"10.1109\/CVPRW.2017.186"},{"key":"24_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1007\/978-3-319-46484-8_48","volume-title":"Computer Vision \u2013 ECCV 2016","author":"RR Varior","year":"2016","unstructured":"Varior, R.R., Haloi, M., Wang, G.: Gated Siamese Convolutional Neural Network Architecture for Human Re-identification. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 791\u2013808. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_48"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Methodologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95957-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:20:23Z","timestamp":1710325223000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-95957-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319959566","9783319959573"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95957-3_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2018\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"LOD","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"632","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"275","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.46","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}