{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T09:01:53Z","timestamp":1716195713030},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,8,17]],"date-time":"2016-08-17T00:00:00Z","timestamp":1471392000000},"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":["SIViP"],"published-print":{"date-parts":[[2017,2]]},"DOI":"10.1007\/s11760-016-0949-7","type":"journal-article","created":{"date-parts":[[2016,8,17]],"date-time":"2016-08-17T04:53:19Z","timestamp":1471409599000},"page":"349-356","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Energy efficient cosine similarity measures according to a convex cost function"],"prefix":"10.1007","volume":"11","author":[{"given":"Cem Emre","family":"Akba\u015f","sequence":"first","affiliation":[]},{"given":"Osman","family":"G\u00fcnay","sequence":"additional","affiliation":[]},{"given":"Kas\u0131m","family":"Ta\u015fdemir","sequence":"additional","affiliation":[]},{"given":"A. Enis","family":"\u00c7etin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,8,17]]},"reference":[{"key":"949_CR1","volume-title":"Mining of Massive Datasets","author":"A Rajaraman","year":"2012","unstructured":"Rajaraman, A., Ullman, J.D.: Mining of Massive Datasets. Cambridge University Press, Cambridge (2012)"},{"issue":"1","key":"949_CR2","first-page":"1605","volume":"14","author":"RB Zadeh","year":"2013","unstructured":"Zadeh, R.B., Goel, A.: Dimension independent similarity computation. J. Mach. Learn. Res. 14(1), 1605\u20131626 (2013)","journal-title":"J. Mach. Learn. Res."},{"key":"949_CR3","first-page":"1705","volume":"6","author":"A Banerjee","year":"2005","unstructured":"Banerjee, A., Merugu, S., Dhillon, I.S., Ghosh, J.: Clustering with bregman divergences. J. Mach. Learn. Res. 6, 1705\u20131749 (2005)","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"949_CR4","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/0041-5553(67)90040-7","volume":"7","author":"L Bregman","year":"1967","unstructured":"Bregman, L.: The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. USSR Comput. Math. Math. Phys. 7(3), 200\u2013217 (1967)","journal-title":"USSR Comput. Math. Math. Phys."},{"issue":"3","key":"949_CR5","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/BF00934676","volume":"34","author":"Y Censor","year":"1981","unstructured":"Censor, Y., Lent, A.: An iterative row-action method for interval convex programming. J. Optim. Theory Appl. 34(3), 321\u2013353 (1981)","journal-title":"J. Optim. Theory Appl."},{"issue":"2","key":"949_CR6","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/0165-1684(89)90092-3","volume":"16","author":"AE \u00c7etin","year":"1989","unstructured":"\u00c7etin, A.E.: Reconstruction of signals from fourier transform samples. Signal Process. 16(2), 129\u2013148 (1989)","journal-title":"Signal Process."},{"key":"949_CR7","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.dsp.2013.09.010","volume":"24","author":"K Kose","year":"2014","unstructured":"Kose, K., Gunay, O., \u00c7etin, A.E.: Compressive sensing using the modified entropy functional. Digit. Signal Process. 24, 63\u201370 (2014)","journal-title":"Digit. Signal Process."},{"issue":"1\u20134","key":"949_CR8","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60(1\u20134), 259\u2013268 (1992)","journal-title":"Phys. D"},{"key":"949_CR9","doi-asserted-by":"crossref","unstructured":"Akba\u015f, C.E., Bozkurt, A., Arslan, M., Aslanoglu, H., \u00c7etin, A.E.: L1 norm based multiplication-free cosine similarity measures for big data analysis. In: 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), pp. 1\u20135 (2014)","DOI":"10.1109\/IWCIM.2014.7008798"},{"key":"949_CR10","doi-asserted-by":"crossref","unstructured":"Suhre, A., Keskin, F., Ersahin, T., \u00c7etin Atalay, R., Ansari, R., \u00c7etin, A.E.: A multiplication-free framework for signal processing and applications in biomedical image analysis. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1123\u20131127 (2013)","DOI":"10.1109\/ICASSP.2013.6637825"},{"issue":"9","key":"949_CR11","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1109\/LSP.2009.2024589","volume":"16","author":"H Tuna","year":"2009","unstructured":"Tuna, H., Onaran, I., \u00c7etin, A.E.: Image description using a multiplier-less operator. Signal Process. Lett. IEEE 16(9), 751\u2013753 (2009)","journal-title":"Signal Process. Lett. IEEE"},{"key":"949_CR12","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.compag.2012.02.012","volume":"84","author":"O Yorulmaz","year":"2012","unstructured":"Yorulmaz, O., Pearson, T.C., \u00c7etin, A.E.: Detection of fungal damaged popcorn using image property covariance features. Comput. Electron. Agric. 84, 47\u201352 (2012)","journal-title":"Comput. Electron. Agric."},{"key":"949_CR13","doi-asserted-by":"crossref","unstructured":"Duman, K., \u00c7etin, A.E.: Target Detection in Sar Images Using Codifference and Directional Filters, pp. 76,990S\u201376,990S-10 (2010)","DOI":"10.1117\/12.850206"},{"issue":"6","key":"949_CR14","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1007\/s00138-011-0369-1","volume":"23","author":"YH Habiboglu","year":"2012","unstructured":"Habiboglu, Y.H., Gunay, O., \u00c7etin, A.E.: Covariance matrix-based fire and flame detection method in video. Mach. Vis. Appl. 23(6), 1103\u20131113 (2012)","journal-title":"Mach. Vis. Appl."},{"key":"949_CR15","doi-asserted-by":"crossref","unstructured":"Kleinberg, J., Tardos, E.: Approximation algorithms for classification problems with pairwise relationships: metric labeling and markov random fields. In: 40th Annual Symposium on Foundations of Computer Science, pp. 14\u201323 (1999)","DOI":"10.1109\/SFFCS.1999.814572"},{"key":"949_CR16","doi-asserted-by":"crossref","unstructured":"Charikar, M.S.: Similarity estimation techniques from rounding algorithms. In: Proceedings of the Thiry-fourth Annual ACM Symposium on Theory of Computing, ser. STOC \u201902.New York: ACM, pp. 380\u2013388 (2002)","DOI":"10.1145\/509907.509965"},{"key":"949_CR17","unstructured":"Madeo, R.C.B., Wagner, P.K., Peres, S.M.: UCI Machine Learning Repository (2014). [Online]. http:\/\/archive.ics.uci.edu\/ml"},{"key":"949_CR18","doi-asserted-by":"crossref","unstructured":"Hayman, E., Caputo, B., Fritz, M., Eklundh, J.-O.: On the significance of real-world conditions for material classification. In: Pajdla, T., Matas, J. (Eds.) European Conference on Computer Vision (ECCV), pp. 253\u2013266 (2004)","DOI":"10.1007\/978-3-540-24673-2_21"},{"key":"949_CR19","doi-asserted-by":"crossref","unstructured":"Selesnick, I., Baraniuk, R., Kingsbury, N.: The dual-tree complex wavelet transform. In: Zoltowski, M.D. (Ed.) IEEE Signal Processing Magazine, vol.\u00a022, no.\u00a06, pp. 123\u2013151 (2005)","DOI":"10.1109\/MSP.2005.1550194"},{"key":"949_CR20","unstructured":"Ramos, J.: Using tf-idf to determine word relevance in document queries. In: Proceedings of the First Instructional Conference on Machine Learning (2003)"},{"key":"949_CR21","doi-asserted-by":"crossref","unstructured":"Baldi, P., Sadowski, P., Whiteson, D.: Searching for exotic particles in high-energy physics with deep learning. Nat. Commun. 5(4308), 1 (2014)","DOI":"10.1038\/ncomms5308"},{"key":"949_CR22","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0168-1699(99)00046-0","volume":"24","author":"JA Blackard","year":"1999","unstructured":"Blackard, J.A., Dean, D.J.: Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables. Comput. Electron. Agric. 24, 131\u2013151 (1999)","journal-title":"Comput. Electron. Agric."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-016-0949-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-016-0949-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-016-0949-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-016-0949-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T16:34:04Z","timestamp":1568306044000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-016-0949-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,17]]},"references-count":22,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,2]]}},"alternative-id":["949"],"URL":"https:\/\/doi.org\/10.1007\/s11760-016-0949-7","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,8,17]]}}}