{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:52:38Z","timestamp":1740099158229,"version":"3.37.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319929996"},{"type":"electronic","value":"9783319930008"}],"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\/978-3-319-93000-8_21","type":"book-chapter","created":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T01:50:47Z","timestamp":1528163447000},"page":"185-192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks"],"prefix":"10.1007","author":[{"given":"Kaleb E.","family":"Smith","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phillip","family":"Williams","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatsanee","family":"Chaiya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Ble","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,6]]},"reference":[{"key":"21_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/978-3-642-21735-7_7","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2011","author":"J Masci","year":"2011","unstructured":"Masci, J., Meier, U., Cire\u015fan, D., Schmidhuber, J.: Stacked convolutional auto-encoders for hierarchical feature extraction. In: Honkela, T., Duch, W., Girolami, M., Kaski, S. (eds.) ICANN 2011. LNCS, vol. 6791, pp. 52\u201359. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21735-7_7"},{"issue":"2","key":"21_CR2","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J Park","year":"1991","unstructured":"Park, J., Sandberg, I.W.: Universal approximation using radial-basis-function networks. Neural Comput. 3(2), 246\u2013257 (1991)","journal-title":"Neural Comput."},{"key":"21_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/978-3-319-50832-0_34","volume-title":"Advances in Visual Computing","author":"P Williams","year":"2016","unstructured":"Williams, P.: SINN: Shepard Interpolation Neural Networks. In: Bebis, G., et al. (eds.) ISVC 2016. LNCS, vol. 10073, pp. 349\u2013358. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-50832-0_34"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Le, Q.V.: Building high-level features using large scale unsupervised learning. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8595\u20138598. IEEE, May 2013","DOI":"10.1109\/ICASSP.2013.6639343"},{"key":"21_CR5","unstructured":"Clevert, D.A., Unterthiner, T., Hochreiter, S.: Fast and accurate deep network learning by exponential linear units (ELUS). arXiv preprint arXiv:1511.07289 (2015)"},{"key":"21_CR6","unstructured":"Wan, L., Zeiler, M., Zhang, S., Cun, Y.L., Fergus, R.: Regularization of neural networks using dropconnect. In: Proceedings of the 30th International Conference on Machine Learning (ICML 2013), pp. 1058\u20131066 (2013)"},{"issue":"1","key":"21_CR7","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1364\/JOSAA.20.000056","volume":"20","author":"Y Petrov","year":"2003","unstructured":"Petrov, Y., Zhaoping, L.: Local correlations, information redundancy, and sufficient pixel depth in natural images. JOSA A 20(1), 56\u201366 (2003)","journal-title":"JOSA A"},{"key":"21_CR8","unstructured":"Ren, J.S., Xu, L., Yan, Q., Sun, W.: Shepard convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 901\u2013909 (2015)"},{"key":"21_CR9","unstructured":"Donald, S.: A two-dimensional interpolation function for irregularly-spaced data. In: Proceedings of the 1968 23rd ACM National Conference. ACM (1968)"},{"key":"21_CR10","unstructured":"Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027\u20131035. Society for Industrial and Applied Mathematics, January 2007"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Ciregan, D., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3642\u20133649. IEEE, June 2012","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Xie, S., et al.: Aggregated residual transformations for deep neural networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2017)","DOI":"10.1109\/CVPR.2017.634"},{"key":"21_CR13","unstructured":"LeCun, Y., Bengio, Y.: Convolutional networks for images, speech, and time series. In: The Handbook of Brain Theory and Neural Networks, vol. 3361, no. 10 (1995)"},{"key":"21_CR14","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images. Technical report, University of Toronto (2009)"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Zagoruyko, S., Komodakis, N.: Wide residual networks. arXiv preprint arXiv:1605.07146 (2016)","DOI":"10.5244\/C.30.87"},{"key":"21_CR16","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (2012)"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93000-8_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T22:30:27Z","timestamp":1571437827000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-93000-8_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319929996","9783319930008"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93000-8_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}