{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:46:54Z","timestamp":1775069214881,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540615101","type":"print"},{"value":"9783540686842","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1996]]},"DOI":"10.1007\/3-540-61510-5_45","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T16:47:40Z","timestamp":1330274860000},"page":"251-256","source":"Crossref","is-referenced-by-count":74,"title":["Comparison of view-based object recognition algorithms using realistic 3D models"],"prefix":"10.1007","author":[{"given":"V.","family":"Blanz","sequence":"first","affiliation":[]},{"given":"B.","family":"Sch\u00f6lkopf","sequence":"additional","affiliation":[]},{"given":"H.","family":"B\u00fclthoff","sequence":"additional","affiliation":[]},{"given":"C.","family":"Burges","sequence":"additional","affiliation":[]},{"given":"V.","family":"Vapnik","sequence":"additional","affiliation":[]},{"given":"T.","family":"Vetter","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,9]]},"reference":[{"key":"45_CR1","first-page":"144","volume-title":"A training algorithm for optimal margin classifiers","author":"B. E. Boser","year":"1992","unstructured":"Boser, B. E., Guyon, I. M., Vapnik, V.: A training algorithm for optimal margin classifiers. Fifth Annual Workshop on Computational Learning Theory, Pittsburgh ACM (1992) 144\u2013152."},{"key":"45_CR2","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1073\/pnas.89.1.60","volume":"89","author":"H. H. B\u00fclthoff","year":"1992","unstructured":"B\u00fclthoff, H. H., Edelman, S.: Psychological support for a two-dimensional view interpolation theory of object recognition. Proc. Natl. Acad. Sci. USA 89 (1992) 60\u201364","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"45_CR3","first-page":"1","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support Vector Networks. Machine Learning 20 (1995) 1\u201325","journal-title":"Machine Learning"},{"issue":"3","key":"45_CR4","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1109\/12.210173","volume":"42","author":"M Lades","year":"1993","unstructured":"Lades, M, Vorbr\u00fcggen, J. C., Buhmann, J., Lange, J., von der Malsburg, C, W\u00fcrtz, R. P., Konen, W. Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans. Comp. 42 3 (1993) 300\u2013311","journal-title":"IEEE Trans. Comp."},{"key":"45_CR5","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1098\/rspb.1978.0020","volume":"200","author":"D. Marr","year":"1978","unstructured":"Marr, D., Nishihara, H. K. Representation and recognition of the spatial organization of three dimensional structure. Proceedings of the Royal Society of London B, 200 (1978) 269\u2013294","journal-title":"Proceedings of the Royal Society of London B"},{"key":"45_CR6","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1038\/343263a0","volume":"343","author":"T. Poggio","year":"1990","unstructured":"Poggio, T., Edelman, S. A network that learns to recognize three-dimensional objects. Nature 343 (1990) 263\u2013266","journal-title":"Nature"},{"key":"45_CR7","volume-title":"Extracting support data for a given task","author":"B. Sch\u00f6lkopf","year":"1995","unstructured":"Sch\u00f6lkopf, B., Burges, C., Vapnik, V.: Extracting support data for a given task. In: Fayyad, U. M., Uthurusamy, R. (eds.): Proceedings, First International Conference on Knowledge Discovery & Data Mining, AAAI Press, Menlo Park, CA (1995)"},{"key":"45_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer Verlag, New York (1995)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2014 ICANN 96"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-61510-5_45.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T21:33:10Z","timestamp":1619559190000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-61510-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996]]},"ISBN":["9783540615101","9783540686842"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/3-540-61510-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1996]]}}}