{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T07:55:53Z","timestamp":1725609353386},"publisher-location":"Berlin, Heidelberg","reference-count":7,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642122194"},{"type":"electronic","value":"9783642122200"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"tdm","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\/978-3-642-12220-0_3","type":"book-chapter","created":{"date-parts":[[2010,4,10]],"date-time":"2010-04-10T15:59:28Z","timestamp":1270915168000},"page":"15-20","source":"Crossref","is-referenced-by-count":1,"title":["A Classification of Remote Sensing Image Based on Improved Compound Kernels of Svm"],"prefix":"10.1007","author":[{"given":"Jianing","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Wanlin","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Zili","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Guifen","family":"Mou","sequence":"additional","affiliation":[]},{"given":"Lin","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Lina","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"3_CR1","first-page":"1","volume-title":"Data mining and knowledge discovery","author":"C.J. Burges","year":"1998","unstructured":"Burges, C.J.: A tutorial on support vector machines for pattern recognition. In: Fayyad, U. (ed.) Data mining and knowledge discovery, pp. 1\u201343. Kluwer Academic, Dordrecht (1998)"},{"key":"3_CR2","unstructured":"Cristianini, N., Shawe-Taylor, J.: An introduction to support vector machines and other Kernel-based learning methods: House of Electronics Industry (2005)"},{"key":"3_CR3","unstructured":"Smits, G., Jordaan, E.: Improved SVM regression using mixtures of kernels. In: IJCNN (2002)"},{"key":"3_CR4","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The nature of statistical learning theory. Springer, New York (1995)"},{"volume-title":"Statistical Learning theory","year":"1998","author":"V.N. Vapnik","key":"3_CR5","unstructured":"Vapnik, V.N.: Statistical Learning theory. Wiley, New York (1998)"},{"key":"3_CR6","unstructured":"Xia, H., Ding, Z., Li, Z., Guo, C., Song, H.: A Adaptive Compound Kernel Function of Support Vector Machines. Journal of Wuhan University of Technology, 2 (2009)"},{"issue":"26","key":"3_CR7","first-page":"32","volume":"1","author":"X.G. Zhang","year":"2000","unstructured":"Zhang, X.G.: Introduction statistical learning theory and support vectormachines. Act Autom atica Sinica\u00a01(26), 32\u201342 (2000)","journal-title":"Act Autom atica Sinica"}],"container-title":["IFIP Advances in Information and Communication Technology","Computer and Computing Technologies in Agriculture III"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-12220-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T17:45:04Z","timestamp":1558374304000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-12220-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642122194","9783642122200"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-12220-0_3","relation":{},"ISSN":["1868-4238","1861-2288"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1861-2288"}],"subject":[],"published":{"date-parts":[[2010]]}}}
