{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T05:40:40Z","timestamp":1790055640325,"version":"4.0.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319598758","type":"print"},{"value":"9783319598765","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59876-5_42","type":"book-chapter","created":{"date-parts":[[2017,6,1]],"date-time":"2017-06-01T01:09:35Z","timestamp":1496279375000},"page":"380-388","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Fast Spectral Clustering Using Autoencoders and Landmarks"],"prefix":"10.1007","author":[{"given":"Ershad","family":"Banijamali","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Ghodsi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,6,2]]},"reference":[{"key":"42_CR1","doi-asserted-by":"crossref","unstructured":"Chen, X., Cai, D.: Large scale spectral clustering with landmark-based representation. In: Twenty-Fifth AAAI Conference on Artificial Intelligence (2011)","DOI":"10.1609\/aaai.v25i1.7900"},{"key":"42_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/978-3-642-40935-6_26","volume-title":"Algorithmic Learning Theory","author":"A Choromanska","year":"2013","unstructured":"Choromanska, A., Jebara, T., Kim, H., Mohan, M., Monteleoni, C.: Fast spectral clustering via the Nystr\u00f6m method. In: Jain, S., Munos, R., Stephan, F., Zeugmann, T. (eds.) ALT 2013. LNCS, vol. 8139, pp. 367\u2013381. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-40935-6_26"},{"key":"42_CR3","volume-title":"Spectral Graph Theory","author":"FR Chung","year":"1997","unstructured":"Chung, F.R.: Spectral Graph Theory, vol. 92. American Mathematical Soc., Providence (1997)"},{"key":"42_CR4","doi-asserted-by":"crossref","unstructured":"Dhillon, I.S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 269\u2013274. ACM (2001)","DOI":"10.1145\/502512.502550"},{"issue":"1","key":"42_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-014-0801-8","volume":"45","author":"AK Farahat","year":"2015","unstructured":"Farahat, A.K., Elgohary, A., Ghodsi, A., Kamel, M.S.: Greedy column subset selection for large-scale data sets. Knowl. Inf. Syst. 45(1), 1\u201334 (2015)","journal-title":"Knowl. Inf. Syst."},{"issue":"2","key":"42_CR6","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1109\/TPAMI.2004.1262185","volume":"26","author":"C Fowlkes","year":"2004","unstructured":"Fowlkes, C., Belongie, S., Chung, F., Malik, J.: Spectral grouping using the Nystrom method. IEEE Trans. Pattern Anal. Mach. Intell. 26(2), 214\u2013225 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"42_CR7","unstructured":"Gittens, A., Kambadur, P., Boutsidis, C.: Approximate spectral clustering via randomized sketching. Ebay\/IBM Research Technical Report (2013)"},{"issue":"5786","key":"42_CR8","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"42_CR9","doi-asserted-by":"crossref","unstructured":"Li, M., Lian, X.C., Kwok, J.T., Lu, B.L.: Time and space efficient spectral clustering via column sampling. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2297\u20132304. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995425"},{"key":"42_CR10","unstructured":"Ng, A.Y., Jordan, M.I., et al.: On spectral clustering: analysis and an algorithm. In: Advances in Neural Information Processing Systems, pp. 849\u2013856 (2002)"},{"issue":"5","key":"42_CR11","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.1093\/nar\/gkj515","volume":"34","author":"A Paccanaro","year":"2006","unstructured":"Paccanaro, A., Casbon, J.A., Saqi, M.A.: Spectral clustering of protein sequences. Nucleic Acids Res. 34(5), 1571\u20131580 (2006)","journal-title":"Nucleic Acids Res."},{"key":"42_CR12","unstructured":"Shao, M., Li, S., Ding, Z., Fu, Y.: Deep linear coding for fast graph clustering. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)"},{"key":"42_CR13","doi-asserted-by":"crossref","unstructured":"Tian, F., Gao, B., Cui, Q., Chen, E., Liu, T.Y.: Learning deep representations for graph clustering. In: Twenty-Eighth AAAI Conference on Artificial Intelligence (2014)","DOI":"10.1609\/aaai.v28i1.8916"},{"key":"42_CR14","doi-asserted-by":"crossref","unstructured":"White, S., Smyth, P.: A spectral clustering approach to finding communities in graphs. In: Proceedings of the 2005 SIAM International Conference on Data Mining, pp. 274\u2013285. SIAM (2005)","DOI":"10.1137\/1.9781611972757.25"},{"key":"42_CR15","unstructured":"Williams, C.K., Seeger, M.: Using the Nystr\u00f6m method to speed up kernel machines. In: Proceedings of the 13th International Conference on Neural Information Processing Systems, pp. 661\u2013667. MIT press (2000)"},{"key":"42_CR16","doi-asserted-by":"crossref","unstructured":"Yan, D., Huang, L., Jordan, M.I.: Fast approximate spectral clustering. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 907\u2013916. ACM (2009)","DOI":"10.1145\/1557019.1557118"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59876-5_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T12:07:31Z","timestamp":1715861251000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-59876-5_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319598758","9783319598765"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59876-5_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"2 June 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montreal, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","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":"5 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciar2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aimiconf.org\/iciar17\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}