{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:43:07Z","timestamp":1742992987943,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642042768"},{"type":"electronic","value":"9783642042775"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-04277-5_28","type":"book-chapter","created":{"date-parts":[[2009,10,1]],"date-time":"2009-10-01T08:49:52Z","timestamp":1254386992000},"page":"275-284","source":"Crossref","is-referenced-by-count":0,"title":["Hand-Drawn Shape Recognition Using the SVM\u2019ed Kernel"],"prefix":"10.1007","author":[{"given":"Khaled S.","family":"Refaat","sequence":"first","affiliation":[]},{"given":"Amir F.","family":"Atiya","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"28_CR1","volume-title":"Learning with Kernels","author":"B. Scholkopf","year":"2002","unstructured":"Scholkopf, B., Smola, A.J.: Learning with Kernels. The MIT Press, Cambridge (2002)"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Thadani, K., Jayaraman, A., Sundararajan, V.: Evolutionary Selection of Kernels in Support Vector Machines. In: International Conference on Advanced Computing and Communication (2006)","DOI":"10.1109\/ADCOM.2006.4289849"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Kong, R., Zhang, B.: Autocorrelation Kernel Functions for Support Vector Machines. In: Third International Conference on Natural Computation (2007)","DOI":"10.1109\/ICNC.2007.276"},{"key":"28_CR4","volume-title":"IEEE Workshop on Machine Learning for Signal Processing","author":"J. George","year":"2008","unstructured":"George, J., Rajeev, K.: SINC-CAUCHY Hybrid Wavelet Kernel for Support Vector Machines. In: IEEE Workshop on Machine Learning for Signal Processing. IEEE Press, Los Alamitos (2008)"},{"key":"28_CR5","doi-asserted-by":"publisher","first-page":"1453","DOI":"10.1109\/TNN.2007.895909","volume":"18","author":"D. Wang","year":"2007","unstructured":"Wang, D., Yeung, D., Eric, C.: Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Transaction on Neural Networks\u00a018, 1453\u20131462 (2007)","journal-title":"IEEE Transaction on Neural Networks"},{"key":"28_CR6","first-page":"3015","volume-title":"International Joint Conference on Neural Networks","author":"J. Xu","year":"2004","unstructured":"Xu, J., Zhang, X.: Kernels Based on Weighted Levenshtein Distance. In: International Joint Conference on Neural Networks, pp. 3015\u20133018. IEEE Press, Budapest (2004)"},{"key":"28_CR7","doi-asserted-by":"crossref","unstructured":"Wu, X., Wang, J., Herbet, K.: A New Kernel Method for RNA Classification. In: Sixth IEEE International Symposium on BioInformatics and BioEngineering, Virginia, pp. 201\u2013208 (2006)","DOI":"10.1109\/BIBE.2006.253335"},{"key":"28_CR8","unstructured":"Yan, C., Wang, Z., Gao, Q., Du, Y.: A Novel Kernel for Sequences Classification. In: IEEE International Conference on Natural Language Processing and Knowledge Engineering, Wuhan, pp. 769\u2013773 (2005)"},{"key":"28_CR9","first-page":"1905","volume-title":"International Joint Conference on Neural Networks","author":"M. Cuturi","year":"2004","unstructured":"Cuturi, M., Vert, J.: A Mutual Information Kernel for Sequences. In: International Joint Conference on Neural Networks, pp. 1905\u20131910. IEEE Press, Budapest (2004)"},{"key":"28_CR10","first-page":"177","volume-title":"International Joint Conference on Neural Networks","author":"K. Refaat","year":"2008","unstructured":"Refaat, K., Helmy, W., Ali, A., Abdelghany, M., Atiya, A.: A New Approach for Context-Independent Handwritten Offline Diagram Recognition using Support Vector Machines. In: International Joint Conference on Neural Networks, pp. 177\u2013182. IEEE Press, Hong Kong (2008)"},{"key":"28_CR11","unstructured":"Jaochims, T.: SVMlight is an implementation of Support Vector Machines in C"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Boyce, J., Dobkin, D., Drysdale, R., Guibas, L.: Finding External Polygons. In: Annual Symposium on the Theory of Computing (1982)","DOI":"10.1145\/800070.802202"},{"key":"28_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/3-540-40953-X_16","volume-title":"Graphics Recognition. Recent Advances","author":"E. Valveny","year":"2000","unstructured":"Valveny, E., Mart\u00ed, E.: Deformable template matching within a bayesian framework for hand-written graphic symbol recognition. In: Chhabra, A.K., Dori, D. (eds.) GREC 1999. LNCS, vol.\u00a01941, pp. 193\u2013208. Springer, Heidelberg (2000)"},{"key":"28_CR14","unstructured":"Notowidigo, M., Miller, C.: Offline sketch interpretation. In: AAAI Fall Symposium on Making Pen-Based Interaction Intelligent and Natural. Washington (2004)"},{"key":"28_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1007\/978-3-540-39425-9_70","volume-title":"Advanced Parallel Processing Technologies","author":"M.B. Ahmad","year":"2003","unstructured":"Ahmad, M.B., Park, J.-A., Chang, M.H., Shim, Y.-S., Choi, T.-S.: Shape registration based on modified chain codes. In: Zhou, X., Xu, M., J\u00e4hnichen, S., Cao, J. (eds.) APPT 2003. LNCS, vol.\u00a02834, pp. 600\u2013607. Springer, Heidelberg (2003)"},{"key":"28_CR16","unstructured":"Microsoft software product for creating a wide variety of business and technical drawings, http:\/\/www.office.microsoft.com"},{"key":"28_CR17","unstructured":"Notowidigdo, M.: User-Directed Sketch Interpretation. MEng thesis, Massachusetts Institute of Technology (2004)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2013 ICANN 2009"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-04277-5_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T19:55:56Z","timestamp":1558554956000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-04277-5_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642042768","9783642042775"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-04277-5_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}