{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:51:50Z","timestamp":1767423110889,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1109\/cvpr.2015.7298696","type":"proceedings-article","created":{"date-parts":[[2015,10,15]],"date-time":"2015-10-15T22:42:06Z","timestamp":1444948926000},"page":"942-950","source":"Crossref","is-referenced-by-count":17,"title":["Predicting the future behavior of a time-varying probability distribution"],"prefix":"10.1109","author":[{"given":"Christoph H.","family":"Lampert","sequence":"first","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1115\/1.3662552"},{"key":"ref11","first-page":"201","article-title":"Activity forecasting","author":"kitani","year":"2012","journal-title":"European Conference on Computer Vision (ECCV)"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.15607\/RSS.2013.IX.006"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1561\/0600000027"},{"key":"ref14","article-title":"Conditional mean embeddings as regressors","author":"lever","year":"2012","journal-title":"International Conference on Machine Learing (ICML)"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1002\/cjs.5550350410"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1162\/0899766052530802"},{"key":"ref17","article-title":"Improving the Fisher kernel for large-scale image classification","author":"perronnin","year":"2010","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref18","article-title":"Does evolution cause a domain shift?","author":"rematas","year":"2013","journal-title":"ICCV Workshop on Visual Domain Adaptation and Dataset Bias"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-75225-7_5","article-title":"A Hilbert space embedding for distributions","author":"smola","year":"2007","journal-title":"International Conference on Algorithmic Learning Theory (ALT)"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/CVPR.2011.5995468"},{"key":"ref4","article-title":"Super-samples from kernel herding","author":"chen","year":"2010","journal-title":"Uncertainty in Artificial Intelligence (UAI)"},{"key":"ref27","article-title":"Incremental domain adaptation of deformable part-based models","author":"xu","year":"2014","journal-title":"British Machine Vision Conference (BMVC)"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1145\/1961189.1961199"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/TPAMI.2011.265"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/IROS.2009.5354147"},{"key":"ref5","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learing (ICML)"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/CVPR.2014.116"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1049\/ip-f-2.1993.0015"},{"key":"ref2","article-title":"On the equivalence between herding and conditional gradient algorithms","author":"bach","year":"2012","journal-title":"International Conference on Machine Learing (ICML)"},{"year":"2008","author":"jiang","article-title":"A literature survey on domain adaptation of statistical classifiers","key":"ref9"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/11776420_13"},{"year":"2008","author":"song","journal-title":"Learning via Hilbert space embedding of distributions","key":"ref20"},{"key":"ref22","first-page":"2389","article-title":"Universality, characteristic kernels and RKHS embedding of measures","volume":"12","author":"sriperumbudur","year":"2011","journal-title":"Journal of Machine Learning Research (JMLR)"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1145\/1553374.1553497"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1073\/pnas.1307298110"},{"year":"2014","author":"szabo","article-title":"Learning theory for distribution regression. arXiv: 1411.2066 [math. ST]","key":"ref23"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/IROS.2011.6094892"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/CVPR.2014.416"}],"event":{"name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","start":{"date-parts":[[2015,6,7]]},"location":"Boston, MA, USA","end":{"date-parts":[[2015,6,12]]}},"container-title":["2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7293313\/7298593\/07298696.pdf?arnumber=7298696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T21:24:30Z","timestamp":1498253070000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7298696\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/cvpr.2015.7298696","relation":{},"subject":[],"published":{"date-parts":[[2015,6]]}}}