{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T07:38:24Z","timestamp":1729669104719,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1109\/mlsp.2015.7324380","type":"proceedings-article","created":{"date-parts":[[2015,11,12]],"date-time":"2015-11-12T18:09:32Z","timestamp":1447351772000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Kernel covariance series smoothing"],"prefix":"10.1109","author":[{"given":"Cristina","family":"Soguero-Ruiz","sequence":"first","affiliation":[]},{"given":"Robert","family":"Jenssen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1109\/MSP.2013.2249692","article-title":"Entropy-Relevant Dimensions in Kernel Feature Space","volume":"30","author":"jenssen","year":"2013","journal-title":"IEEE Signal Processing Magazine"},{"key":"ref11","first-page":"682","article-title":"Using the nyström method to speed up kernel machines","author":"williams","year":"2001","journal-title":"Proceedings of the 14th Annual Conference on Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/0899766041732396"},{"key":"ref13","first-page":"105","article-title":"Kernel ridge regression","author":"vladimir","year":"2013","journal-title":"Empirical Inference"},{"key":"ref14","volume":"383","author":"scott","year":"2009","journal-title":"Multivariate Density Estimation Theory Practice and Visualization"},{"key":"ref15","article-title":"Locally weighted projection regression: An algorithm for incremental real time learning in high dimensional space","author":"vijayakumar","year":"2000","journal-title":"Proc of the Sixteenth International Conf on Machine Learning"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2168962"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CCOL0521344301.003"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1201\/b14876","author":"wand","year":"1994","journal-title":"Kernel Smoothing"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/089976602317250942"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref8","volume":"81","author":"kreyszig","year":"1989","journal-title":"Introductory Functional Analysis With Applications"},{"journal-title":"Pattern Recognition Principles","year":"1974","author":"tou","key":"ref7"},{"journal-title":"Gaussian Processes for Machine Learning","year":"2006","author":"rasmussen","key":"ref2"},{"key":"ref1","volume":"159","author":"davenport","year":"1958","journal-title":"An Introduction to the Theory of Random Signals and Noise"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.100"}],"event":{"name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2015,9,17]]},"location":"Boston, MA, USA","end":{"date-parts":[[2015,9,20]]}},"container-title":["2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7311793\/7324166\/07324380.pdf?arnumber=7324380","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T09:52:08Z","timestamp":1567331528000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7324380\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2015.7324380","relation":{},"subject":[],"published":{"date-parts":[[2015,9]]}}}