{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T20:54:13Z","timestamp":1725569653772},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642173158"},{"type":"electronic","value":"9783642173165"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-17316-5_44","type":"book-chapter","created":{"date-parts":[[2010,11,12]],"date-time":"2010-11-12T00:19:48Z","timestamp":1289521188000},"page":"465-476","source":"Crossref","is-referenced-by-count":3,"title":["High Dimensional Image Categorization"],"prefix":"10.1007","author":[{"given":"Fran\u00e7ois","family":"Poulet","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen-Khang","family":"Pham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"2","key":"44_CR1","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1145\/567806.567807","volume":"28","author":"L.S. Blackford","year":"2002","unstructured":"Blackford, L.S., Demmel, J., Dongarra, J., Duff, I., Hammarling, S., Henry, G., Heroux, M., Kaufman, L., Lumsdaine, A., Petitet, A., Pozo, R., Remington, K., Whaley, R.C.: An Updated Set of Basic Linear Algebra Subprograms (BLAS). ACM Trans. Math. Soft.\u00a028(2), 135\u2013151 (2002)","journal-title":"ACM Trans. Math. Soft."},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Boser, B., Guyon, I., Vapnik, V.: A Training Algorithm for Optimal Margin Classifiers. In: 5th ACM Annual Workshop on Computational Learning Theory, Pittsburgh, Pennsylvania, pp. 144\u2013152 (1992)","DOI":"10.1145\/130385.130401"},{"key":"44_CR3","unstructured":"Cauwenberghs, G., Poggio, T.: Incremental and Decremental Support Vector Machine Learning. In: Advances in Neural Information Processing Systems, vol.\u00a013, pp. 409\u2013415. MIT Press, Cambridge (2001)"},{"key":"44_CR4","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a Library for Support Vector Machines (2001), Software available at http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"44_CR5","first-page":"7","volume-title":"6th International Conference on Machine Learning and Applications, ICMLA 2007","author":"T.N. Do","year":"2007","unstructured":"Do, T.N., Fekete, J.D.: Large Scale Classification with Support Vector Machine Algorithms. In: 6th International Conference on Machine Learning and Applications, ICMLA 2007, pp. 7\u201312. IEEE Press, Ohio (2007)"},{"issue":"4","key":"44_CR6","first-page":"368","volume":"3","author":"T.N. Do","year":"2009","unstructured":"Do, T.N., Pham, N.K., Poulet, F.: GPU-based Parallel SVM Algorithm. Journal of Frontiers of Computer Science and Technoloy\u00a03(4), 368\u2013377 (2009)","journal-title":"Journal of Frontiers of Computer Science and Technoloy"},{"key":"44_CR7","unstructured":"Do, T.N., Poulet, F.: Classifying one Billion Data with a New Distributed SVM Algorithm. In: 4th IEEE International Conference on Computer Science, Research, Innovation and Vision for the Future, RIVF 2006, Ho Chi Minh, Vietnam, pp. 59\u201366 (2006)"},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Fung, G., Mangasarian, O.: Incremental Support Vector Machine Classification. In: The 2nd SIAM Int. Conf. on Data Mining, SDM 2002, Arlington, Virginia, USA (2002)","DOI":"10.1137\/1.9781611972726.15"},{"key":"44_CR9","unstructured":"Grid5000, https:\/\/www.grid5000.fr\/mediawiki\/index.php\/Grid5000:Home"},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Joachims, T.: A Support Vector Method for Multivariate Performance Measures. In: The International Conference on Machine Learning, ICML (2005)","DOI":"10.1145\/1102351.1102399"},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Lowe, D.: Object Recognition from Local Scale-Invariant Features. In: The 7th International Conference on Computer Vision, ICCV 1999, vol.\u00a02, pp. 1150\u20131157 (1999)","DOI":"10.1109\/ICCV.1999.790410"},{"key":"44_CR12","unstructured":"McQueen, J.: Some Methods for classification and Analysis of Multivariate Observations. In: The 5th Berkeley Symposium on Mathematical Statistics and Probability, vol.\u00a01, pp. 281\u2013297. University of California Press, Berkeley (1967)"},{"issue":"1","key":"44_CR13","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1023\/B:VISI.0000027790.02288.f2","volume":"60","author":"K. Mikolajczyk","year":"2004","unstructured":"Mikolajczyk, K., Schmid, C.: Scale and Affine invariant interest point detectors. International Journal of Computer Vision\u00a060(1), 63\u201386 (2004)","journal-title":"International Journal of Computer Vision"},{"key":"44_CR14","unstructured":"NVIDIA\u00ae CUDATM, CUDA Programming Guide 1.1 (2007)"},{"key":"44_CR15","unstructured":"NVIDIA\u00ae CUDATM, CUDA CUBLAS Library 1.1 (2007)"},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Platt, J.: Fast Training of Support Vector Machines Using Sequential Minimal Optimization. In: Advances in Kernel Methods \u2013 Support Vector Learning, pp. 185\u2013208 (1999)","DOI":"10.7551\/mitpress\/1130.003.0016"},{"key":"44_CR17","first-page":"177","volume-title":"Enterprise Information Systems","author":"F. Poulet","year":"2004","unstructured":"Poulet, F., Do, T.N.: Mining Very Large Datasets with Support Vector Machine Algorithms. In: Enterprise Information Systems, pp. 177\u2013184. Kluwer Academic Publishers, Dordrecht (2004)"},{"key":"44_CR18","doi-asserted-by":"crossref","unstructured":"Savarese, S.L.: Fei-Fei.:3D generic object categorization, localization and pose estimation. In: International Conference on Computer Vision (2007)","DOI":"10.1109\/ICCV.2007.4408987"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Sivic, J., Zisserman, A.: Video Google: A Text Retrieval Approach to Object Matching in Videos. In: The International Conference on Computer Vision, pp. 1470\u20131477 (2003)","DOI":"10.1109\/ICCV.2003.1238663"},{"issue":"3","key":"44_CR20","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J. Suykens","year":"1999","unstructured":"Suykens, J., Vandewalle, J.: Least Squares Support Vector Machines Classifiers. Neural Processing Letters\u00a09(3), 293\u2013300 (1999)","journal-title":"Neural Processing Letters"},{"key":"44_CR21","doi-asserted-by":"crossref","unstructured":"Syed, N., Liu, H., Sung, K.: Incremental Learning with Support Vector Machines. In: The Workshop on Support Vector Machines at the International Joint Conference on Artificial Intelligence, Stockholm, Sweden (1999)","DOI":"10.1145\/312129.312267"},{"key":"44_CR22","unstructured":"Tong, S., Koller, D.: Support Vector Machine Active Learning with Applications to Text Classification. In: ICML 2000, The 17th Int. Conf. on Machine Learning, Stanford, USA, pp. 999\u20131006 (2000)"},{"key":"44_CR23","doi-asserted-by":"publisher","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, New York (1995)"},{"key":"44_CR24","unstructured":"Wasson, S.: Nvidia\u2019s GeForce 8800 graphics processor. Technical report, PC Hardware Explored (2006)"},{"key":"44_CR25","doi-asserted-by":"crossref","unstructured":"Yu, H., Yang, J., Han, J.:Classifying Large Data Sets Using SVM with Hierarchical Clusters.In: The 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 306\u2013315(2003)","DOI":"10.1145\/956750.956786"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17316-5_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T05:38:36Z","timestamp":1685857116000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17316-5_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642173158","9783642173165"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17316-5_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}