{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:40:34Z","timestamp":1743050434763,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319689340"},{"type":"electronic","value":"9783319689357"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68935-7_44","type":"book-chapter","created":{"date-parts":[[2017,10,5]],"date-time":"2017-10-05T03:53:18Z","timestamp":1507175598000},"page":"406-414","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering"],"prefix":"10.1007","author":[{"given":"O. R.","family":"O\u00f1a-Rocha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"O. T.","family":"S\u00e1nchez-Manosalvas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. C.","family":"Umaquinga-Criollo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P. D.","family":"Rosero-Montalvo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. E.","family":"Su\u00e1rez-Zambrano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. L.","family":"Rodr\u00edguez-Sotelo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. H.","family":"Peluffo-Ord\u00f3\u00f1ez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,6]]},"reference":[{"issue":"5","key":"44_CR1","doi-asserted-by":"publisher","first-page":"053023","DOI":"10.1117\/1.JEI.24.5.053023","volume":"24","author":"L Lu","year":"2015","unstructured":"Lu, L., Zhang, X., Xu, X., Shang, D.: Video analysis using spatiotemporal descriptor and kernel extreme learning machine for lip reading. J. Electron. Imaging 24(5), 053023\u2013053023 (2015)","journal-title":"J. Electron. Imaging"},{"key":"44_CR2","unstructured":"Yadav, S., Dubey, R., Ahmed, M.: An advanced motion detection algorithm with video quality analysis for video surveillance systems. Int. J. Adv. Res. Comput. Sci. 5(8) (2014)"},{"key":"44_CR3","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.humov.2013.09.004","volume":"33","author":"SK Saripalle","year":"2014","unstructured":"Saripalle, S.K., Paiva, G.C., Cliett, T.C., Derakhshani, R.R., King, G.W., Lovelace, C.T.: Classification of body movements based on posturographic data. Hum. Mov. Sci. 33, 238\u2013250 (2014)","journal-title":"Hum. Mov. Sci."},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Shanmao, G., Yunlong, L., Lijun, L., Ni, Z.: Weighted principal component analysis applied to continuous stirred tank reactor system with time-varying. In: 2015 34th Chinese Control Conference (CCC), pp. 6377\u20136381. IEEE (2015)","DOI":"10.1109\/ChiCC.2015.7260643"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Langone, R., Alzate, C., Suykens, J.A.: Kernel spectral clustering with memory effect. Physica A: Statistical Mechanics and Its Applications (2013)","DOI":"10.1016\/j.physa.2013.01.058"},{"issue":"2","key":"44_CR6","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1109\/TPAMI.2008.292","volume":"32","author":"C Alzate","year":"2010","unstructured":"Alzate, C., Suykens, J.A.: Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. 32(2), 335\u2013347 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"44_CR7","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1109\/TPAMI.2013.212","volume":"36","author":"SS Bucak","year":"2014","unstructured":"Bucak, S.S., Jin, R., Jain, A.K.: Multiple kernel learning for visual object recognition: a review. IEEE Trans. Pattern Anal. Mach. Intell. 36(7), 1354\u20131369 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"44_CR8","unstructured":"Peluffo, D., Garcia, S., Langone, R., Suykens, J., Castellanos, G.: Kernel spectral clustering for dynamic data using mulitple kernel learning. In: Proceedings of the International Joint Conference on Neural Networks, pp. 1085\u20131090 (2013)"},{"key":"44_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1007\/978-3-642-38637-4_27","volume-title":"Natural and Artificial Models in Computation and Biology","author":"D Peluffo-Ord\u00f3\u00f1ez","year":"2013","unstructured":"Peluffo-Ord\u00f3\u00f1ez, D., Garc\u00eda-Vega, S., Castellanos-Dom\u00ednguez, C.G.: Kernel spectral clustering for motion tracking: a first approach. In: Ferr\u00e1ndez Vicente, J.M., \u00c1lvarez S\u00e1nchez, J.R., de la Paz L\u00f3pez, F., Toledo Moreo, F.J. (eds.) IWINAC 2013. LNCS, vol. 7930, pp. 264\u2013273. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-38637-4_27"},{"key":"44_CR10","doi-asserted-by":"publisher","DOI":"10.1142\/5089","volume-title":"Least Squares Support Vector Machines","author":"JAK Suykens","year":"2002","unstructured":"Suykens, J.A.K., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)"},{"issue":"2","key":"44_CR11","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1109\/TPAMI.2008.292","volume":"32","author":"C Alzate","year":"2010","unstructured":"Alzate, C., Suykens, J.A.K.: Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. 32(2), 335\u2013347 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"44_CR12","unstructured":"Peluffo, D., Lee, J., Verleysen, M., Rodr\u00edguez-Sotelo, J., Castellanos-Dom\u00ednguez, G.: Unsupervised relevance analysis for feature extraction and selection: A distance-based approach for feature relevance. In: International Conference on Pattern Recognition, Applications and Methods-ICPRAM (2014)"},{"key":"44_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/978-3-642-34654-5_51","volume-title":"Advances in Artificial Intelligence \u2013 IBERAMIA 2012","author":"S Molina-Giraldo","year":"2012","unstructured":"Molina-Giraldo, S., \u00c1lvarez-Meza, A.M., Peluffo-Ordo\u00f1ez, D.H., Castellanos-Dom\u00ednguez, G.: Image segmentation based on multi-kernel learning and feature relevance analysis. In: Pav\u00f3n, J., Duque-M\u00e9ndez, N.D., Fuentes-Fern\u00e1ndez, R. (eds.) IBERAMIA 2012. LNCS, vol. 7637, pp. 501\u2013510. Springer, Heidelberg (2012). doi:10.1007\/978-3-642-34654-5_51"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68935-7_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:30:50Z","timestamp":1710354650000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68935-7_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319689340","9783319689357"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68935-7_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"6 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guilin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ideal2017.guet.edu.cn\/ideal\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}