{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T20:13:07Z","timestamp":1725567187878},"publisher-location":"Berlin, Heidelberg","reference-count":7,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642162381"},{"type":"electronic","value":"9783642162398"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-16239-8_36","type":"book-chapter","created":{"date-parts":[[2010,10,1]],"date-time":"2010-10-01T03:14:43Z","timestamp":1285902883000},"page":"270-277","source":"Crossref","is-referenced-by-count":0,"title":["Dimensionality Reduction for Distance Based Video Clustering"],"prefix":"10.1007","author":[{"given":"Jayaraman J.","family":"Thiagarajan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karthikeyan N.","family":"Ramamurthy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Spanias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"36_CR1","unstructured":"Alpaydin, E.: Introduction to Machine Learning. In: Adaptive Computation and Machine Learning. The MIT Press, Cambridge (2004)"},{"key":"36_CR2","unstructured":"Kannan, R., Vempala, S.S.: Spectral Algorithms. In: Foundations and Trends in Theoretical Computer Science. Now Publishers Inc. (2009)"},{"key":"36_CR3","unstructured":"Vailaya, A., Jain, A.K., Zhang, H.: Video Clustering. Technical report, Michigan State University (1996)"},{"key":"36_CR4","series-title":"Discrete Mathematics and Theoretical Computer Science","volume-title":"The Random Projection Method","author":"S.S. Vempala","year":"2004","unstructured":"Vempala, S.S.: The Random Projection Method. Discrete Mathematics and Theoretical Computer Science. American Mathematical Society, Providence (2004)"},{"key":"36_CR5","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1016\/j.sigpro.2008.12.005","volume":"89","author":"Z. He","year":"2009","unstructured":"He, Z., Cichoki, A., Li, Y., Xie, S., Sanei, S.: K-hyperline clustering learning for sparse component analysis. Signal Processing\u00a089, 1011\u20131022 (2009)","journal-title":"Signal Processing"},{"key":"36_CR6","doi-asserted-by":"crossref","unstructured":"Dasgupta, S.: Learning Mixtures of Gaussians. In: Proceedings of the 40th Annual Symposium on Foundations of Computer Science, Washington, DC, USA, pp. 634\u2013644 (1999)","DOI":"10.1109\/SFFCS.1999.814639"},{"key":"36_CR7","unstructured":"YUV Video Sequences, \n                    \n                      http:\/\/trace.eas.asu.edu\/yuv\/index.html"}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-16239-8_36.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T12:24:36Z","timestamp":1619785476000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-16239-8_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642162381","9783642162398"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-16239-8_36","relation":{},"ISSN":["1868-4238","1861-2288"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1861-2288"}],"subject":[],"published":{"date-parts":[[2010]]}}}