{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T03:27:06Z","timestamp":1764646026267,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,8]]},"DOI":"10.1109\/ijcnn.2013.6706969","type":"proceedings-article","created":{"date-parts":[[2014,1,10]],"date-time":"2014-01-10T20:08:44Z","timestamp":1389384524000},"page":"1-7","source":"Crossref","is-referenced-by-count":23,"title":["Learning convolutional neural networks from few samples"],"prefix":"10.1109","author":[{"given":"Raimar","family":"Wagner","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Thom","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roland","family":"Schweiger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gunther","family":"Palm","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albrecht","family":"Rothermel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033458"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2004.07.007"},{"key":"17","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc of NIPS"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1016\/S0960-9822(03)00135-0"},{"key":"18","article-title":"Learning methods for generic object recognition with invariance to pose and lighting","author":"le cun","year":"2004","journal-title":"Proc of CVPR"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033328"},{"key":"15","article-title":"Stacked convolutional auto-encoders for hierarchical feature extraction","author":"masci","year":"2011","journal-title":"Proc of ICANN"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1959.sp006308"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"39","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"13","article-title":"Greedy layer- wise training of deep networks","author":"bengio","year":"2007","journal-title":"Proc of NIPS"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383157"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1996.8.3.531"},{"key":"11","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"38","first-page":"1457","article-title":"Non-negative matrix factorization with sparseness constraints","volume":"5","author":"hoyer","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"21","article-title":"Evaluation of pooling operations in convolutional architectures for object recognition","author":"scherer","year":"2010","journal-title":"Proc of ICANN"},{"key":"20","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/3-540-49430-8_2","article-title":"Efficient backprop","author":"le cun","year":"1998","journal-title":"Neural Networks Tricks of the Trade"},{"journal-title":"The MNIST Database of Handwritten Digits","year":"1998","author":"le cun","key":"22"},{"key":"23","article-title":"Tiled convolutional neural networks","author":"le","year":"2010","journal-title":"Proc of NIPS"},{"key":"24","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","author":"bishop","year":"1995","journal-title":"Neural Networks for Pattern Recognition"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(93)90003-F"},{"key":"26","article-title":"The importance of encoding versus training with sparse coding and vector quantization","author":"coates","year":"2011","journal-title":"Proc of ICML"},{"key":"27","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-1904-8","author":"jolliffe","year":"1986","journal-title":"Principal Component Analysis"},{"journal-title":"Natural Image Statistics A Probabilistic Approach to Early Computational Vision","year":"2009","author":"hyvarinen","key":"28"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273592"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227801"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"10","article-title":"Efficient learning of sparse representations with an energy-based model","author":"ranzato","year":"2006","journal-title":"Proc of NIPS"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1007\/BF00275687"},{"key":"7","article-title":"Transfer learning for latin and chinese characters with deep neural networks","author":"cires?an","year":"2012","journal-title":"Proc of IJCNN"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1142\/S0218213008004059"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"5","article-title":"Is learning the n-th thing any easier than learning the first?","author":"thrun","year":"1996","journal-title":"Proc of NIPS"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90044-0"},{"key":"4","article-title":"Reduced training of convolutional neural networks for pedestrian detection","author":"nguyen","year":"2009","journal-title":"Proc ICIT"},{"key":"9","first-page":"625","article-title":"Why does unsupervised pre-training help deep learning?","volume":"11","author":"erhan","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"8","article-title":"Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks","author":"ahmed","year":"2008","journal-title":"Proc of ECCV"}],"event":{"name":"2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas)","start":{"date-parts":[[2013,8,4]]},"location":"Dallas, TX, USA","end":{"date-parts":[[2013,8,9]]}},"container-title":["The 2013 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6691896\/6706705\/06706969.pdf?arnumber=6706969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:33:52Z","timestamp":1716424432000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6706969\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,8]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2013.6706969","relation":{},"subject":[],"published":{"date-parts":[[2013,8]]}}}