{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:40:33Z","timestamp":1743000033260,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811540141"},{"type":"electronic","value":"9789811540158"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","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":[[2020]]},"DOI":"10.1007\/978-981-15-4015-8_10","type":"book-chapter","created":{"date-parts":[[2020,3,28]],"date-time":"2020-03-28T10:02:46Z","timestamp":1585389766000},"page":"109-119","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral Images"],"prefix":"10.1007","author":[{"given":"Vikas","family":"Kookna","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ankit Kumar","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agastya","family":"Raj","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biplab","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,29]]},"reference":[{"issue":"4","key":"10_CR1","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1109\/72.298224","volume":"5","author":"R Battiti","year":"1994","unstructured":"Battiti, R.: Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Networks 5(4), 537\u2013550 (1994). \nhttps:\/\/doi.org\/10.1109\/72.298224","journal-title":"IEEE Trans. Neural Networks"},{"key":"10_CR2","doi-asserted-by":"publisher","unstructured":"Baumgardner, M.F., Biehl, L.L., Landgrebe, D.A.: 220 band aviris hyperspectral image data set: June 12, 1992 Indian pine test site 3, September 2015. \nhttps:\/\/doi.org\/10.4231\/R7RX991C","DOI":"10.4231\/R7RX991C"},{"key":"10_CR3","unstructured":"Cheng-San, Y., Chuang, L.Y., Ke, C.H., Yang, C.H.: A hybrid feature selection method for microarray classification. IAENG Int. J. Comput. Sci. 35 (2008)"},{"issue":"2","key":"10_CR4","doi-asserted-by":"publisher","first-page":"71","DOI":"10.3390\/e19020071","volume":"19","author":"D Chicharro","year":"2017","unstructured":"Chicharro, D., Panzeri, S.: Synergy and redundancy in dual decompositions of mutual information gain and information loss. Entropy 19(2), 71 (2017). \nhttps:\/\/doi.org\/10.3390\/e19020071","journal-title":"Entropy"},{"key":"10_CR5","doi-asserted-by":"publisher","unstructured":"Ding, C., Peng, H.: Minimum redundancy feature selection from microarray gene expression data. In: Computational Systems Bioinformatics. Proceedings of the 2003 IEEE Bioinformatics Conference, CSB2003, August 2003, pp. 523\u2013528 (2003). \nhttps:\/\/doi.org\/10.1109\/CSB.2003.1227396","DOI":"10.1109\/CSB.2003.1227396"},{"issue":"2","key":"10_CR6","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1109\/TNN.2008.2005601","volume":"20","author":"PA Estevez","year":"2009","unstructured":"Estevez, P.A., Tesmer, M., Perez, C.A., Zurada, J.M.: Normalized mutual information feature selection. IEEE Trans. Neural Networks 20(2), 189\u2013201 (2009). \nhttps:\/\/doi.org\/10.1109\/TNN.2008.2005601","journal-title":"IEEE Trans. Neural Networks"},{"key":"10_CR7","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, vol. 9, pp. 249\u2013256. PMLR, 13\u201315 May 2010. \nhttp:\/\/proceedings.mlr.press\/v9\/glorot10a.html"},{"issue":"8","key":"10_CR8","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1226\u20131238 (2005). \nhttps:\/\/doi.org\/10.1109\/TPAMI.2005.159","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10_CR9","doi-asserted-by":"publisher","first-page":"383","DOI":"10.3724\/SP.J.1004.2008.00383","volume":"34","author":"JJ Huang","year":"2008","unstructured":"Huang, J.J., Lv, N., Li, S.Q., Cai, Y.Z.: Feature selection for classificatory analysis based on information-theoretic criteria. Acta Automatica Sinica 34(3), 383\u2013392 (2008). \nhttps:\/\/doi.org\/10.3724\/SP.J.1004.2008.00383","journal-title":"Acta Automatica Sinica"},{"key":"10_CR10","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations, December 2014. \nhttps:\/\/arxiv.org\/abs\/1412.6980"},{"issue":"1","key":"10_CR11","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/72.977291","volume":"13","author":"N Kwak","year":"2002","unstructured":"Kwak, N., Choi, C.-H.: Input feature selection for classification problems. IEEE Trans. Neural Networks 13(1), 143\u2013159 (2002). \nhttps:\/\/doi.org\/10.1109\/72.977291","journal-title":"IEEE Trans. Neural Networks"},{"issue":"2","key":"10_CR12","first-page":"168","volume":"38","author":"P Lin","year":"2011","unstructured":"Lin, P., Thapa, N., Omer, I., Zhang, J.: Feature selection: a preprocess for data perturbation. IAENG Int. J. Comput. Sci. 38(2), 168\u2013175 (2011)","journal-title":"IAENG Int. J. Comput. Sci."},{"issue":"3","key":"10_CR13","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/j.ejrs.2018.01.003","volume":"21","author":"SA Medjahed","year":"2018","unstructured":"Medjahed, S.A., Ouali, M.: Band selection based on optimization approach for hyperspectral image classification. Egypt. J. Remote Sens. Space Sci. 21(3), 413\u2013418 (2018). \nhttps:\/\/doi.org\/10.1016\/j.ejrs.2018.01.003","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"10_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/978-3-540-76725-1_44","volume-title":"Progress in Pattern Recognition, Image Analysis and Applications","author":"J Novovi\u010dov\u00e1","year":"2007","unstructured":"Novovi\u010dov\u00e1, J., Somol, P., Haindl, M., Pudil, P.: Conditional mutual information based feature selection for classification task. In: Rueda, L., Mery, D., Kittler, J. (eds.) CIARP 2007. LNCS, vol. 4756, pp. 417\u2013426. Springer, Heidelberg (2007). \nhttps:\/\/doi.org\/10.1007\/978-3-540-76725-1_44"},{"issue":"7","key":"10_CR15","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.1162\/089976601750265027","volume":"13","author":"W Wang","year":"2001","unstructured":"Wang, W., Jones, P., Partridge, D.: A comparative study of feature-salience ranking techniques. Neural Comput. 13(7), 1603\u20131623 (2001). \nhttps:\/\/doi.org\/10.1162\/089976601750265027","journal-title":"Neural Comput."},{"issue":"1","key":"10_CR16","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold, S., Esbensen, K., Geladi, P.: Principal component analysis. Chemometr. Intell. Lab. Syst. 2(1), 37\u201352 (1987). \nhttps:\/\/doi.org\/10.1016\/0169-7439(87)80084-9\n\n. Proceedings of the Multivariate Statistical Workshop for Geologists and Geochemists","journal-title":"Chemometr. Intell. Lab. Syst."}],"container-title":["Communications in Computer and Information Science","Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-4015-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,28]],"date-time":"2020-03-28T21:03:19Z","timestamp":1585429399000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-4015-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811540141","9789811540158"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-4015-8_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CVIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision and Image Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jaipur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cvip2019.mnit.ac.in\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"202","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"73","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}