{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T00:06:53Z","timestamp":1775261213308,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030033347","type":"print"},{"value":"9783030033354","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-03335-4_29","type":"book-chapter","created":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T08:14:02Z","timestamp":1541060042000},"page":"332-343","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Deep Gabor Scattering Network for Image Classification"],"prefix":"10.1007","author":[{"given":"Li-Na","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benxiu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haizhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqiang","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyu","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,2]]},"reference":[{"issue":"8","key":"29_CR1","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1109\/TPAMI.2012.230","volume":"35","author":"J Bruna","year":"2013","unstructured":"Bruna, J., Mallat, S.: Invariant scattering convolution networks. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1872\u20131886 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"29_CR2","doi-asserted-by":"crossref","unstructured":"Cai, D., He, X., Hu, Y., Han, J., Huang, T.S.: Learning a spatially smooth subspace for face recognition. In: CVPR (2007)","DOI":"10.1109\/CVPR.2007.383054"},{"issue":"3","key":"29_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C Chang","year":"2011","unstructured":"Chang, C., Lin, C.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 1\u201327 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"29_CR4","unstructured":"Chen, X., Cheng, X., Mallat, S.: Unsupervised deep haar scattering on graphs. In: NIPS, pp. 1709\u20131717 (2014)"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Ciresan, D., Meier, U., Masci, J., Gambardella, L., Schmidhuber, J.: Flexible, high performance convolutional neural networks for image classification. In: IJCAI, pp. 1237\u20131242 (2011)","DOI":"10.1109\/IJCNN.2011.6033458"},{"issue":"7","key":"29_CR6","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1109\/TIP.2003.814250","volume":"12","author":"C Grigorescu","year":"2003","unstructured":"Grigorescu, C., Petkov, N., Westenberg, M.A.: Contour detection based on nonclassical receptive field inhibition. IEEE Trans. Image Process. 12(7), 729\u2013739 (2003)","journal-title":"IEEE Trans. Image Process."},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Guo, T., Mousavi, H., Vu, T., Monga, V.: Deep wavelet prediction for image super-resolution. In: CVPR Workshops, pp. 1100\u20131109. IEEE Computer Society (2017)","DOI":"10.1109\/CVPRW.2017.148"},{"key":"29_CR8","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313, 504\u2013507 (2006)","journal-title":"Science"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Jarrett, K., Kavukcuoglu, K., Ranzato, M., LeCun, Y.: What is the best multi-stage architecture for object recognition? In: ICCV, pp. 2146\u20132153. IEEE Computer Society (2009)","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"29_CR10","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: ImageNet classification with deep convolutional neural networks. In: NIPS, pp. 1106\u20131114 (2012)"},{"issue":"11","key":"29_CR11","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Huang, F.J., Bottou, L.: Learning methods for generic object recognition with invariance to pose and lighting. In: CVPR, pp. 97\u2013104 (2004)","DOI":"10.1109\/CVPR.2004.1315150"},{"issue":"12","key":"29_CR13","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1016\/0031-3203(92)90121-X","volume":"25","author":"R Mehrotra","year":"1992","unstructured":"Mehrotra, R., Namuduri, K., Ranganathan, N.: Gabor filter-based edge detection. Pattern Recognit. 25(12), 1479\u20131494 (1992)","journal-title":"Pattern Recognit."},{"issue":"145\u2013146","key":"29_CR14","first-page":"1985","volume":"662","author":"Y Meyer","year":"1985","unstructured":"Meyer, Y.: Principe D\"Incertitude, Bases Hilbertiennes Et Algebres D\"Operateurs. Seminaire Bourbaki 662(145\u2013146), 1985\u20131986 (1985)","journal-title":"Seminaire Bourbaki"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Said, S., Jemai, O., Hassairi, S., Ejbali, R., Zaied, M., Amar, C.B.: Deep wavelet network for image classification. In: SMC, pp. 922\u2013927 (2016)","DOI":"10.1109\/SMC.2016.7844359"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Schwartz, W.R., Kembhavi, A., Harwood, D., Davis, L.S.: Human detection using partial least squares analysis. In: ICCV, pp. 24\u201331 (2009)","DOI":"10.1109\/ICCV.2009.5459205"},{"key":"29_CR17","unstructured":"Xiao, H., Rasul, K., Vollgraf, R.: Fashion-MNIST: A Novel Image Dataset for Benchmarking Machine Learning Algorithms. CoRR abs\/1708.07747 (2017)"},{"key":"29_CR18","unstructured":"Zhang, H., Kiranyaz, S., Gabbouj, M.: Cardinal sparse partial least square feature selection and its application in face recognition. In: EUSIPCO, pp. 785\u2013789 (2014)"},{"key":"29_CR19","first-page":"54","volume":"10","author":"K Zhou","year":"2008","unstructured":"Zhou, K., Wu, D.: Research of Mallat algorithm based on multi-resolution analysis. Softw. Guide 10, 54\u201355 (2008)","journal-title":"Softw. Guide"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03335-4_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:52:46Z","timestamp":1775256766000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-03335-4_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030033347","9783030033354"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03335-4_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"2 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"23 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/prcv.qyhw.net.cn\/?lang=en&meeting_id=255","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}