{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T18:32:46Z","timestamp":1725993166036},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030011314"},{"type":"electronic","value":"9783030011321"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01132-1_25","type":"book-chapter","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T08:35:33Z","timestamp":1537518933000},"page":"219-227","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression"],"prefix":"10.1007","author":[{"given":"Hector","family":"Gonzalez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Morell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesc J.","family":"Ferri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,22]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1111\/j.2517-6161.1977.tb01622.x","volume":"23","author":"JK Benedetti","year":"1977","unstructured":"Benedetti, J.K.: On the nonparametric estimation of regression functions. J. R. Stat. Soc. Ser. B (Methodological) 23, 248\u2013253 (1977)","journal-title":"J. R. Stat. Soc. Ser. B (Methodological)"},{"key":"25_CR2","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"10","key":"25_CR3","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s00500-008-0392-y","volume":"13","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda, S., Fern\u00e1ndez, A., Luengo, J., Herrera, F.: A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput. 13(10), 959\u2013977 (2009)","journal-title":"Soft Comput."},{"issue":"1\u20132","key":"25_CR4","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s10107-015-0871-8","volume":"156","author":"S Ghadimi","year":"2016","unstructured":"Ghadimi, S., Lan, G.: Accelerated gradient methods for nonconvex nonlinear and stochastic programming. Math. Program. 156(1\u20132), 59\u201399 (2016)","journal-title":"Math. Program."},{"key":"25_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17146-8","volume-title":"Nonparametric and Semiparametric Models","author":"WK H\u00e4rdle","year":"2012","unstructured":"H\u00e4rdle, W.K., M\u00fcller, M., Sperlich, S., Werwatz, A.: Nonparametric and Semiparametric Models. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-17146-8"},{"key":"25_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1007\/978-3-642-15696-0_67","volume-title":"Advances in Multimedia Information Processing - PCM 2010","author":"J Hu","year":"2010","unstructured":"Hu, J., Sun, C.S., Lam, K.M.: Semi-supervised metric learning for image classification. In: Qiu, G., Lam, K.M., Kiya, H., Xue, X.-Y., Kuo, C.-C.J., Lew, M.S. (eds.) PCM 2010. LNCS, vol. 6298, pp. 728\u2013735. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15696-0_67"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Huang, K., Ying, Y., Campbell, C.: GSML: a unified framework for sparse metric learning. In: Ninth IEEE International Conference on Data Mining, ICDM 2009, pp. 189\u2013198. IEEE (2009)","DOI":"10.1109\/ICDM.2009.22"},{"issue":"4","key":"25_CR8","doi-asserted-by":"crossref","first-page":"775","DOI":"10.3233\/IFS-2012-0597","volume":"24","author":"R Huang","year":"2013","unstructured":"Huang, R., Sun, S.: Kernel regression with sparse metric learning. J. Intell. Fuzzy Syst. 24(4), 775\u2013787 (2013)","journal-title":"J. Intell. Fuzzy Syst."},{"issue":"4","key":"25_CR9","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1561\/2200000019","volume":"5","author":"B Kulis","year":"2012","unstructured":"Kulis, B.: Metric learning: a survey. Found. Trends Mach. Learn. 5(4), 287\u2013364 (2012)","journal-title":"Found. Trends Mach. Learn."},{"key":"25_CR10","first-page":"1339","volume":"2","author":"S Kumar","year":"2017","unstructured":"Kumar, S., Kolluru, P.K., Chowdary, E.D., Babu, J.B.: Image denoising using combined FFT, kernel regression and local content metrics. J. Adv. Res. Dyn. Control Syst. 2, 1339\u20131347 (2017)","journal-title":"J. Adv. Res. Dyn. Control Syst."},{"key":"25_CR11","unstructured":"Li, H., Lin, Z.: Accelerated proximal gradient methods for nonconvex programming. In: Advances in Neural Information Processing Systems, pp. 379\u2013387 (2015)"},{"key":"25_CR12","first-page":"97","volume":"168","author":"RM Neal","year":"1998","unstructured":"Neal, R.M.: Assessing relevance determination methods using DELVE. Nato Asi Ser. F Comput. Syst. Sci. 168, 97\u2013132 (1998)","journal-title":"Nato Asi Ser. F Comput. Syst. Sci."},{"key":"25_CR13","unstructured":"Schultz, M., Joachims, T.: Learning a distance metric from relative comparisons. In: Advances in Neural Information Processing Systems (NIPS), p. 41 (2004)"},{"key":"25_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/978-3-540-88906-9_2","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2008","author":"S Sun","year":"2008","unstructured":"Sun, S., Chen, Q.: Kernel regression with a mahalanobis metric for short-term traffic flow forecasting. In: Fyfe, C., Kim, D., Lee, S.-Y., Yin, H. (eds.) IDEAL 2008. LNCS, vol. 5326, pp. 9\u201316. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88906-9_2"},{"key":"25_CR15","volume-title":"Statistical Learning with Sparsity: The Lasso and Generalizations","author":"R Tibshirani","year":"2015","unstructured":"Tibshirani, R., Wainwright, M., Hastie, T.: Statistical Learning with Sparsity: The Lasso and Generalizations. Chapman and Hall\/CRC, Boca Raton (2015)"},{"key":"25_CR16","doi-asserted-by":"publisher","unstructured":"Wang, Q., Wan, J., Yuan,Y.: Deep metric learning for crowdedness regression. IEEE Trans. Circuits Syst. Video Technol., 10 (2018). https:\/\/doi.org\/10.1109\/TCSVT.2017.2703920","DOI":"10.1109\/TCSVT.2017.2703920"},{"key":"25_CR17","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.patcog.2017.03.030","volume":"75","author":"Q Wang","year":"2018","unstructured":"Wang, Q., Wan, J., Yuan, Y.: Locality constraint distance metric learning for traffic congestion detection. Pattern Recognit. 75, 272\u2013281 (2018)","journal-title":"Pattern Recognit."},{"key":"25_CR18","unstructured":"Weinberger, K., Blitzer, J., Saul, L.: Distance metric learning for large margin nearest neighbor classification. In: Advances in Neural Information Processing Systems, vol. 18, p. 1473 (2006)"},{"key":"25_CR19","first-page":"207","volume":"10","author":"KQ Weinberger","year":"2009","unstructured":"Weinberger, K.Q., Saul, L.K.: Distance metric learning for large margin nearest neighbor classification. J. Mach. Learn. Res. 10, 207\u2013244 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"25_CR20","unstructured":"Weinberger, K.Q., Tesauro, G.: Metric learning for kernel regression. In: Artificial Intelligence and Statistics, pp. 612\u2013619 (2007)"},{"key":"25_CR21","unstructured":"Ying, Y., Huang, K., Campbell, C.: Sparse metric learning via smooth optimization. In: Advances in Neural Information Processing Systems, pp. 2214\u20132222 (2009)"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01132-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T15:53:25Z","timestamp":1720626805000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01132-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030011314","9783030011321"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01132-1_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"IWAIPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Artificial Intelligence and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Havana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","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":"24 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwaipr2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/uciencia.uci.cu\/en\/vi-international-workshop-artificial-intelligence-and-pattern-recognition","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}