{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T19:37:44Z","timestamp":1725910664923},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811063879"},{"type":"electronic","value":"9789811063886"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-6388-6_42","type":"book-chapter","created":{"date-parts":[[2017,9,15]],"date-time":"2017-09-15T10:13:30Z","timestamp":1505470410000},"page":"492-502","source":"Crossref","is-referenced-by-count":2,"title":["Vehicle Type Recognition Based on Deep Convolution Neural Network"],"prefix":"10.1007","author":[{"given":"Lei","family":"Shi","sequence":"first","affiliation":[]},{"given":"Yamin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yangjie","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Lin","family":"Wei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,16]]},"reference":[{"issue":"4","key":"42_CR1","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/S0955-5986(01)00023-1","volume":"12","author":"M Takamoto","year":"2001","unstructured":"Takamoto, M., Ishikawa, H., Shimizu, K., et al.: New measurement method for very low liquid flow rates using ultrasound. Flow Meas. Instrum. 12(4), 267\u2013273 (2001)","journal-title":"Flow Meas. Instrum."},{"key":"42_CR2","doi-asserted-by":"crossref","unstructured":"Warriach, E.U., Claudel, C.: Poster abstract: a machine learning approach for vehicle classification using passive infrared and ultrasonic sensors (2013)","DOI":"10.1145\/2461381.2461434"},{"key":"42_CR3","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: International Conference on Neural Information Processing Systems, pp. 1097\u20131105. Curran Associates Inc. (2012)"},{"key":"42_CR4","doi-asserted-by":"crossref","unstructured":"Erhan, D., Szegedy, C., Toshev, A., et al.: Scalable object detection using deep neural networks. 2155\u20132162 (2013)","DOI":"10.1109\/CVPR.2014.276"},{"issue":"4","key":"42_CR5","first-page":"92","volume":"47","author":"L Hua","year":"2013","unstructured":"Hua, L., Xu, W., Wang, T., et al.: Vehicle recognition using improved sift and multi-view model. J. Xi\u2019an Jiaotong Univ. 47(4), 92\u201399 (2013)","journal-title":"J. Xi\u2019an Jiaotong Univ."},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M., et al.: DeepFace: closing the gap to human-level performance in face verification. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1701\u20131708. IEEE (2014)","DOI":"10.1109\/CVPR.2014.220"},{"key":"42_CR7","doi-asserted-by":"crossref","unstructured":"Rahati, S., Moravejian, R., Mohamad, E., et al.: Vehicle recognition using contourlet transform and SVM. In: Proceedings of the 5th International Conference on Information Technology: New Generations [S. l.], pp. 894\u2013898. IEEE Press (2008)","DOI":"10.1109\/ITNG.2008.136"},{"key":"42_CR8","unstructured":"Jun, Z.: Research on image retrieval based on fusion feature of AlexNet. Chongqing University of Posts and Telecommunications (2016)"},{"key":"42_CR9","first-page":"1319","volume":"28","author":"IJ Goodfellow","year":"2013","unstructured":"Goodfellow, I.J., Warde-Farley, D., Mirza, M., et al.: Maxout networks. Comput. Sci. 28, 1319\u20131327 (2013)","journal-title":"Comput. Sci."},{"issue":"1","key":"42_CR10","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichalet allocation. J. Mach. Learn. Res. 3(1), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"42_CR11","unstructured":"Andrew, A.M.: An introduction to support vector machines and other kernel-based learning methods. 32(1), 1\u201328 (2001)"},{"issue":"3","key":"42_CR12","first-page":"32","volume":"26","author":"K Fang","year":"2011","unstructured":"Fang, K., Wu, J., Zhu, J., et al.: A review of technologies on random forests. Stat. Inf. Forum 26(3), 32\u201338 (2011)","journal-title":"Stat. Inf. Forum"},{"issue":"1","key":"42_CR13","first-page":"257","volume":"29","author":"H Zhang","year":"2012","unstructured":"Zhang, H., Xun, F., Chen, J.: Face recognition based on multi-scale LBP. Comput. Appl. Softw. 29(1), 257\u2013259 (2012)","journal-title":"Comput. Appl. Softw."},{"issue":"3","key":"42_CR14","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1109\/TCSVT.2011.2162760","volume":"22","author":"FC Huang","year":"2012","unstructured":"Huang, F.C., Huang, S.Y., Ker, J.W., et al.: High-performance SIFT hardware accelerator for real-time image feature extraction. IEEE Trans. Circ. Syst. Video Technol. 22(3), 340\u2013351 (2012)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"42_CR15","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Computer Society Conference on Computer Vision & Pattern Recognition, pp. 886\u2013893. IEEE Computer Society (2005)","DOI":"10.1109\/CVPR.2005.177"},{"key":"42_CR16","unstructured":"Liu, D.: Deep convolutional neural networks for vehicle classification. Southwest Jiaotong University (2015)"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-6388-6_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,3]],"date-time":"2019-10-03T10:53:08Z","timestamp":1570099988000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-6388-6_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811063879","9789811063886"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-6388-6_42","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}