{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T11:24:49Z","timestamp":1725708289749},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642351006"},{"type":"electronic","value":"9783642351013"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-35101-3_14","type":"book-chapter","created":{"date-parts":[[2012,11,29]],"date-time":"2012-11-29T16:40:16Z","timestamp":1354207216000},"page":"156-169","source":"Crossref","is-referenced-by-count":2,"title":["An Abstract Deep Network for Image Classification"],"prefix":"10.1007","author":[{"given":"Anthony","family":"Knittel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan D.","family":"Blair","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"unstructured":"Bengio, Y., Courville, A.C., Vincent, P.: Unsupervised feature learning and deep learning: A review and new perspectives. CoRR abs\/1206.5538 (2012)","key":"14_CR1"},{"key":"14_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y. Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn.\u00a02, 1\u2013127 (2009)","journal-title":"Found. Trends Mach. Learn."},{"issue":"8","key":"14_CR3","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1016\/j.tics.2004.06.003","volume":"8","author":"G.A. Rousselet","year":"2004","unstructured":"Rousselet, G.A., Thorpe, S.J., Fabre-Thorpe, M.: How parallel is visual processing in the ventral pathway? Trends in Cognitive Sciences\u00a08(8), 363\u2013370 (2004)","journal-title":"Trends in Cognitive Sciences"},{"doi-asserted-by":"crossref","unstructured":"Serre, T., Kreiman, G., Kouh, M., Cadieu, C., Knoblich, U., Poggio, T.: A quantitative theory of immediate visual recognition. In: Paul Cisek, T.D., Kalaska, J.F. (eds.) Computational Neuroscience: Theoretical Insights into Brain Function. Progress in Brain Research, vol.\u00a0165, pp. 33\u201356. Elsevier (2007)","key":"14_CR4","DOI":"10.1016\/S0079-6123(06)65004-8"},{"doi-asserted-by":"crossref","unstructured":"Weng, J.: A 5-chunk developmental brain-mind network model for multiple events in complex backgrounds. In: IJCNN, pp. 1\u20138 (July 2010)","key":"14_CR5","DOI":"10.1109\/IJCNN.2010.5596740"},{"issue":"5786","key":"14_CR6","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"G.E. Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science\u00a0313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"14_CR7","first-page":"625","volume":"11","author":"D. Erhan","year":"2010","unstructured":"Erhan, D., Bengio, Y., Courville, A., Manzagol, P.A., Vincent, P., Bengio, S.: Why does unsupervised pre-training help deep learning? J. Mach. Learn. Res.\u00a011, 625\u2013660 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"14_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/978-3-642-15825-4_26","volume-title":"Artificial Neural Networks \u2013 ICANN 2010","author":"A. Fischer","year":"2010","unstructured":"Fischer, A., Igel, C.: Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds.) ICANN 2010, Part III. LNCS, vol.\u00a06354, pp. 208\u2013217. Springer, Heidelberg (2010)"},{"unstructured":"Desjardins, G., Courville, A., Bengio, Y., Vincent, P., Delalleau, O.: Tempered Markov Chain Monte Carlo for training of restricted Boltzmann machines. In: Teh, Y.W., Titterington, M. (eds.) Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Chia Laguna Resort, Sardinia, Italy, May 13-15, pp. 145\u2013152 (2010)","key":"14_CR9"},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2009\/736398","volume":"2009","author":"R.J. Urbanowicz","year":"2009","unstructured":"Urbanowicz, R.J., Moore, J.H.: Learning classifier systems: a complete introduction, review, and roadmap. J. Artif. Evol. App.\u00a02009, 1:1\u20131:25 (2009)","journal-title":"J. Artif. Evol. App."},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"1871","DOI":"10.1145\/1830761.1830819","volume-title":"Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation","author":"A. Knittel","year":"2010","unstructured":"Knittel, A.: An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS). In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, pp. 1871\u20131878. ACM, New York (2010)"},{"issue":"4","key":"14_CR12","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1037\/0033-295X.111.4.1036","volume":"111","author":"J.R. Anderson","year":"2004","unstructured":"Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychological Review\u00a0111(4), 1036\u20131060 (2004)","journal-title":"Psychological Review"},{"doi-asserted-by":"crossref","unstructured":"Knittel, A.: Learning feature hierarchies under reinforcement. In: IEEE Congress on Evolutionary Computation (CEC). IEEE (2012)","key":"14_CR13","DOI":"10.1109\/CEC.2012.6256569"},{"key":"14_CR14","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1145\/2330163.2330280","volume-title":"Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation Conference, GECCO 2012","author":"T. Ebadi","year":"2012","unstructured":"Ebadi, T., Zhang, M., Browne, W.: XCS-based versus UCS-based feature pattern classification system. In: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation Conference, GECCO 2012, pp. 839\u2013846. ACM, New York (2012)"},{"unstructured":"Haykin, S.: Neural networks and learning machines. Prentice Hall (2009)","key":"14_CR15"},{"issue":"4","key":"14_CR16","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1162\/089892903321662976","volume":"15","author":"M. Bar","year":"2003","unstructured":"Bar, M.: A cortical mechanism for triggering top-down facilitation in visual object recognition. J. Cognitive Neuroscience\u00a015(4), 600\u2013609 (2003)","journal-title":"J. Cognitive Neuroscience"},{"issue":"8","key":"14_CR17","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1038\/nrn1476","volume":"5","author":"M. Bar","year":"2004","unstructured":"Bar, M.: Visual objects in context. Nature Reviews Neuroscience\u00a05(8), 617\u2013629 (2004)","journal-title":"Nature Reviews Neuroscience"},{"issue":"7","key":"14_CR18","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"G.E. Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Comput.\u00a018(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"issue":"11","key":"14_CR19","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. Proceedings of the IEEE\u00a086(11), 2278\u20132324 (1998)","journal-title":"Proceedings of the IEEE"},{"doi-asserted-by":"crossref","unstructured":"Ranzato, M., Huang, F.J., Boureau, Y.L., LeCun, Y.: Unsupervised learning of invariant feature hierarchies with applications to object recognition. In: CVPR 2007, pp. 1\u20138 (June 2007)","key":"14_CR20","DOI":"10.1109\/CVPR.2007.383157"},{"key":"14_CR21","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1145\/1553374.1553453","volume-title":"ICML","author":"H. Lee","year":"2009","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: ICML, pp. 609\u2013616. ACM, New York (2009)"},{"doi-asserted-by":"crossref","unstructured":"Grauman, K., Leibe, B.: Visual Object Recognition. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan & Claypool Publishers (2011)","key":"14_CR22","DOI":"10.2200\/S00332ED1V01Y201103AIM011"}],"container-title":["Lecture Notes in Computer Science","AI 2012: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-35101-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T06:23:26Z","timestamp":1687847006000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-35101-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642351006","9783642351013"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-35101-3_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}