{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:04:38Z","timestamp":1725663878313},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540567981"},{"type":"electronic","value":"9783540477419"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1993]]},"DOI":"10.1007\/3-540-56798-4_218","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T11:32:17Z","timestamp":1330255937000},"page":"664-669","source":"Crossref","is-referenced-by-count":0,"title":["Image compression with self-organizing networks"],"prefix":"10.1007","author":[{"given":"Bernd","family":"Freisleben","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximilian","family":"Mengel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,6,1]]},"reference":[{"key":"103_CR1","unstructured":"G. Cottrell, P. Munro and D. Zipser. Image Compression by Backpropagation: An Example of Extensional Programming. In: Advances in Cognitive Science, Vol. 3, Norwood, 1987."},{"key":"103_CR2","first-page":"31","volume":"34","author":"Digital Equipment Corporation","year":"1991","unstructured":"Digital Equipment Corporation. JPEG Still Picture Compression Standard, Communications of the ACM, 34:31\u201344, 1991.","journal-title":"Communications of the ACM"},{"key":"103_CR3","first-page":"401","volume-title":"Adaptive Network for Optimal Linear Feature Extraction","author":"P. F\u00f6ldi\u00e1k","year":"1989","unstructured":"P. F\u00f6ldi\u00e1k. Adaptive Network for Optimal Linear Feature Extraction. In: Proceedings of the International Joint Conference on Neural Networks. San Diego, SOS Printing, pp. 401\u2013405, 1989."},{"issue":"3","key":"103_CR4","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1109\/PROC.1981.11971","volume":"69","author":"A.K. Jain","year":"1981","unstructured":"A.K. Jain. Image Data Compression: A Review. Proceedings of the IEEE, 69(3):349\u2013389, 1981.","journal-title":"Proceedings of the IEEE"},{"key":"103_CR5","doi-asserted-by":"crossref","unstructured":"I.T. Jolliffe. Principal Component Analysis. Springer-Verlag, 1986.","DOI":"10.1007\/978-1-4757-1904-8"},{"key":"103_CR6","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1088\/0954-898X_2_1_005","volume":"2","author":"T.K. Leen","year":"1991","unstructured":"T.K. Leen. Dynamics of Learning in Feature-Discovery Networks. Networks, 2, pp. 85\u2013105, 1991.","journal-title":"Networks"},{"key":"103_CR7","first-page":"215","volume":"1826","author":"L.K. Liu","year":"1992","unstructured":"L.K. Liu and P.A. Limogenides. Unsupervised Orthogonalization Neural Network for Image Compression. Proceedings of the SPIE'92 Conference on Intelligent Robots and Computer Vision XI, Vol. 1826, pp. 215\u2013225, 1992.","journal-title":"Proceedings of the SPIE'92 Conference on Intelligent Robots and Computer Vision XI"},{"key":"103_CR8","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/0893-6080(91)90042-4","volume":"4","author":"M. Mougeot","year":"1991","unstructured":"M. Mougeot, R. Azencott and B. Angeniol. Image Compression With Back Propagation: Improvement of the Visual Restoration Using Different Cost Functions. Neural Networks 4, pp. 467\u2013476, 1991.","journal-title":"Neural Networks"},{"key":"103_CR9","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/BF00275687","volume":"15","author":"E. Oja","year":"1982","unstructured":"E. Oja. A Simplified Neuron Model as a Principal Component Analyzer. Journal of Mathematical Biology, 15, pp. 267\u2013273, 1982.","journal-title":"Journal of Mathematical Biology"},{"key":"103_CR10","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1142\/S0129065789000475","volume":"1","author":"E. Oja","year":"1989","unstructured":"E. Oja. Neural Networks, Principal Components, and Subspaces. International Journal of Neural Systems 1, pp. 61\u201368, 1989.","journal-title":"International Journal of Neural Systems"},{"key":"103_CR11","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1209\/0295-5075\/10\/7\/015","volume":"10","author":"J. Rubner","year":"1989","unstructured":"J. Rubner and P. Tavan. A Self-Organizing Network for Principal-Component Analysis. Europhysics Letters 10, pp. 693\u2013698, 1989.","journal-title":"Europhysics Letters"},{"key":"103_CR12","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0893-6080(89)90044-0","volume":"2","author":"T.D. Sanger","year":"1989","unstructured":"T.D. Sanger. Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network. Neural Networks 2, pp. 459\u2013473, 1989.","journal-title":"Neural Networks"},{"key":"103_CR13","doi-asserted-by":"crossref","unstructured":"L.P. Yaroslavsky. Digital Picture Processing. Springer-Verlag, 1985.","DOI":"10.1007\/978-3-642-81929-2"}],"container-title":["Lecture Notes in Computer Science","New Trends in Neural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-56798-4_218.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T00:55:49Z","timestamp":1619571349000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-56798-4_218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993]]},"ISBN":["9783540567981","9783540477419"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-56798-4_218","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1993]]}}}