{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T06:52:45Z","timestamp":1726037565061},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030237110"},{"type":"electronic","value":"9783030237127"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-23712-7_50","type":"book-chapter","created":{"date-parts":[[2019,7,16]],"date-time":"2019-07-16T12:02:43Z","timestamp":1563278563000},"page":"352-360","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Combined Deep Learning and Semi-supervised Classification Algorithm for LS Area"],"prefix":"10.1007","author":[{"given":"Xiaofeng","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guohua","family":"Geng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiannan","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,7,17]]},"reference":[{"issue":"6","key":"50_CR1","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1109\/TIP.2015.2403235","volume":"24","author":"X Liu","year":"2015","unstructured":"Liu, X., Guo, T., He, L., et al.: A low-rank approximation-based transductive support tensor machine for semi-supervised classification. IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc. 24(6), 1825\u20131838 (2015)","journal-title":"IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc."},{"issue":"7","key":"50_CR2","doi-asserted-by":"publisher","first-page":"3249","DOI":"10.1109\/TIP.2016.2563981","volume":"25","author":"C Gong","year":"2016","unstructured":"Gong, C., Tao, D., Maybank, S.J., et al.: Multi-modal curriculum learning for semi-supervised image classification. IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc. 25(7), 3249 (2016)","journal-title":"IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc."},{"key":"50_CR3","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.imavis.2016.06.007","volume":"55","author":"F Zhu","year":"2016","unstructured":"Zhu, F., et al.: From handcrafted to learned representations for human action recognition: a survey. Image Vis. Comput. 55, 42\u201352 (2016)","journal-title":"Image Vis. Comput."},{"issue":"1","key":"50_CR4","doi-asserted-by":"publisher","first-page":"110","DOI":"10.3390\/app7010110","volume":"7","author":"AB Sargano","year":"2017","unstructured":"Sargano, A.B., Angelov, P., Habib, Z.: A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition. Appl. Sci. 7(1), 110 (2017)","journal-title":"Appl. Sci."},{"issue":"11","key":"50_CR5","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y L\u00e9cun","year":"1998","unstructured":"L\u00e9cun, Y., Bottou, L., Bengio, Y., et al.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"7","key":"50_CR6","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.-W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"key":"50_CR7","doi-asserted-by":"crossref","unstructured":"Ding, Z., Nasrabadi, N.M., Fu, Y.: Task-driven deep transfer learning for image classification. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2414\u20132418. IEEE (2016)","DOI":"10.1109\/ICASSP.2016.7472110"},{"key":"50_CR8","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.inffus.2016.11.007","volume":"36","author":"X Gao","year":"2016","unstructured":"Gao, X., Li, W., Loomes, M., et al.: A fused deep learning architecture for viewpoint classification of echocardiography. Inf. Fusion 36, 103\u2013113 (2016)","journal-title":"Inf. Fusion"},{"key":"50_CR9","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.neucom.2016.09.116","volume":"257","author":"S Yu","year":"2017","unstructured":"Yu, S., Wu, Y., Li, W., et al.: A model for fine-grained vehicle classification based on deep learning. Neurocomputing 257, 97\u2013103 (2017)","journal-title":"Neurocomputing"},{"key":"50_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"},{"key":"50_CR11","doi-asserted-by":"crossref","unstructured":"Sharif Razavian, A., et al.: CNN features off-the-shelf: an astounding baseline for recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2014)","DOI":"10.1109\/CVPRW.2014.131"},{"key":"50_CR12","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (2012)"},{"key":"50_CR13","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"50_CR14","doi-asserted-by":"crossref","unstructured":"Kuznietsov, Y., St\u00fcckler, J., Leibe, B.: Semi-supervised deep learning for monocular depth map prediction (2017)","DOI":"10.1109\/CVPR.2017.238"},{"key":"50_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Xing, F., Shi, X., et al.: SemiContour: a semi-supervised learning approach for contour detection. In: Computer Vision and Pattern Recognition, pp. 251\u2013259. IEEE (2016)","DOI":"10.1109\/CVPR.2016.34"},{"key":"50_CR16","unstructured":"Aytar, Y.: Transfer learning for object category detection. University of Oxford (2014)"},{"key":"50_CR17","unstructured":"Wang, S., Ren, D., Chen, L., et al.: On study of the binarized deep neural network for image classification (2016)"},{"key":"50_CR18","doi-asserted-by":"crossref","unstructured":"Murthy, V.N., Singh, V., Chen, T., et al.: Deep decision network for multi-class image classification. In: Computer Vision and Pattern Recognition, pp. 2240\u20132248. IEEE (2016)","DOI":"10.1109\/CVPR.2016.246"},{"key":"50_CR19","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.neucom.2017.01.018","volume":"235","author":"MM Ghazi","year":"2017","unstructured":"Ghazi, M.M., Yanikoglu, B., Aptoula, E.: Plant identification using deep neural networks via optimization of transfer learning parameters. Neurocomputing 235, 228\u2013235 (2017)","journal-title":"Neurocomputing"},{"issue":"C","key":"50_CR20","first-page":"266","volume":"385","author":"L Shao","year":"2017","unstructured":"Shao, L., Cai, Z., Liu, L., et al.: Performance evaluation of deep feature learning for RGB-D image\/video classification. Inf. Sci. Int. J. 385(C), 266\u2013283 (2017)","journal-title":"Inf. Sci. Int. J."}],"container-title":["Lecture Notes in Computer Science","E-Learning and Games"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-23712-7_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T20:39:39Z","timestamp":1575405579000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-23712-7_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030237110","9783030237127"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23712-7_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"17 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Edutainment","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on E-Learning and Games","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","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":"28 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"edutainment2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/edutainment2018.xaut.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}