{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T23:23:28Z","timestamp":1756682608838,"version":"3.37.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030008390"},{"type":"electronic","value":"9783030008406"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00840-6_13","type":"book-chapter","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T02:35:33Z","timestamp":1537065333000},"page":"113-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to\u00a0Hyperspectral Data"],"prefix":"10.1007","author":[{"given":"Micha\u0142","family":"Romaszewski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Przemys\u0142aw","family":"G\u0142omb","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micha\u0142","family":"Cholewa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,16]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Fix, E., Hodges, J.L., Jr.: Discriminatory analysis-nonparametric discrimination: consistency properties. Technical Report, DTIC Document (1951)","DOI":"10.1037\/e471672008-001"},{"issue":"2","key":"13_CR2","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.14778\/1454159.1454226","volume":"1","author":"H Ding","year":"2008","unstructured":"Ding, H., Trajcevski, G., Scheuermann, P., Wang, X., Keogh, E.: Querying and mining of time series data: experimental comparison of representations and distance measures. Proc. VLDB Endow. 1(2), 1542\u20131552 (2008)","journal-title":"Proc. VLDB Endow."},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.isprsjprs.2016.08.011","volume":"121","author":"M Romaszewski","year":"2016","unstructured":"Romaszewski, M., G\u0142omb, P., Cholewa, M.: Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach. ISPRS J. Photogramm. Remote Sens. 121, 60\u201376 (2016)","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"11","key":"13_CR4","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.1016\/j.csda.2005.06.007","volume":"50","author":"AK Ghosh","year":"2006","unstructured":"Ghosh, A.K.: On optimum choice of k in nearest neighbor classification. Comput. Stat. Data Anal. 50(11), 3113\u20133123 (2006)","journal-title":"Comput. Stat. Data Anal."},{"issue":"1","key":"13_CR5","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"TM Cover","year":"1967","unstructured":"Cover, T.M., Hart, P.E.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21\u201327 (1967)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"3","key":"13_CR6","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1214\/aos\/1176325633","volume":"22","author":"Luc Devroye","year":"1994","unstructured":"Devroye, L., Gyorfi, L., Krzyzak, A., Lugosi, G.: On the strong universal consistency of nearest neighbor regression function estimates. Ann. Stat. 1371\u20131385 (1994)","journal-title":"The Annals of Statistics"},{"issue":"3","key":"13_CR7","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1111\/j.1368-423X.2006.00193.x","volume":"9","author":"D Ouyang","year":"2006","unstructured":"Ouyang, D., Li, D., Li, Q.: Cross-validation and non-parametric k nearest-neighbour estimation. Econom. J. 9(3), 448\u2013471 (2006)","journal-title":"Econom. J."},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Buza, K., Nanopoulos, A., Schmidt-Thieme, L.: Time-series classification based on individualised error prediction. In: 2010 IEEE 13th International Conference on Computational Science and Engineering (CSE), pp. 48\u201354. IEEE (2010)","DOI":"10.1109\/CSE.2010.16"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Toma\u0161ev, N., Mladeni\u0107, D.: Nearest neighbor voting in high-dimensional data: Learning from past occurrences. In: 2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW), pp. 1215\u20131218. IEEE (2011)","DOI":"10.1109\/ICDMW.2011.127"},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.neucom.2014.10.084","volume":"160","author":"N Toma\u0161ev","year":"2015","unstructured":"Toma\u0161ev, N., Buza, K.: Hubness-aware kNN classification of high-dimensional data in presence of label noise. Neurocomputing 160, 157\u2013172 (2015)","journal-title":"Neurocomputing"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Bhattacharya, G., Ghosh, K., Chowdhury, A.S.: Test point specific k estimation for kNN classifier. In: 2014 22nd International Conference on Pattern Recognition (ICPR), pp. 1478\u20131483. IEEE (2014)","DOI":"10.1109\/ICPR.2014.263"},{"issue":"2","key":"13_CR12","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/MGRS.2013.2244672","volume":"1","author":"JM Bioucas-Dias","year":"2013","unstructured":"Bioucas-Dias, J.M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N.M., Chanussot, J.: Hyperspectral remote sensing data analysis and future challenges. IEEE Geosci. Remote Sens. Mag. 1(2), 6\u201336 (2013)","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"issue":"9","key":"13_CR13","doi-asserted-by":"publisher","first-page":"4816","DOI":"10.1109\/TGRS.2012.2230268","volume":"51","author":"J Li","year":"2013","unstructured":"Li, J., Reddy Marpu, P., Plaza, A., Bioucas-Dias, J.M., Atli Benediktsson, J.: Generalized composite kernel framework for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 51(9), 4816\u20134829 (2013)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"13_CR14","doi-asserted-by":"publisher","first-page":"1778","DOI":"10.1109\/TGRS.2004.831865","volume":"42","author":"F Melgani","year":"2004","unstructured":"Melgani, F., Bruzzone, L.: Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans. Geosci. Remote Sens. 42(8), 1778\u20131790 (2004)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"13_CR15","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-3-662-45620-0_11","volume-title":"Feature Selection for Data and Pattern Recognition","author":"N Toma\u0161ev","year":"2015","unstructured":"Toma\u0161ev, N., Buza, K., Marussy, K., Kis, P.B.: Hubness-aware classification, instance selection and feature construction: survey and extensions to time-series. In: Sta\u0144czyk, U., Jain, L.C. (eds.) Feature Selection for Data and Pattern Recognition. SCI, vol. 584, pp. 231\u2013262. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-45620-0_11"},{"key":"13_CR16","series-title":"Springer Series in the Data Sciences","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-319-25388-6_5","volume-title":"Lectures on the Nearest Neighbor Method","author":"G Biau","year":"2015","unstructured":"Biau, G., Devroye, L.: Weighted k-nearest neighbor density estimates. Lectures on the Nearest Neighbor Method. SSDS, pp. 43\u201351. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-25388-6_5"}],"container-title":["Communications in Computer and Information Science","Computer and Information Sciences"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00840-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,24]],"date-time":"2019-10-24T03:37:20Z","timestamp":1571888240000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00840-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030008390","9783030008406"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00840-6_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ISCIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Computer and Information Sciences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poznan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iscis2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/projekty.iitis.pl\/iscis2018","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}