{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T16:40:02Z","timestamp":1750092002138,"version":"3.41.0"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319541921"},{"type":"electronic","value":"9783319541938"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-54193-8_10","type":"book-chapter","created":{"date-parts":[[2017,3,10]],"date-time":"2017-03-10T09:24:07Z","timestamp":1489137847000},"page":"150-164","source":"Crossref","is-referenced-by-count":1,"title":["Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes"],"prefix":"10.1007","author":[{"given":"Yeshi","family":"Dolma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vinay P.","family":"Namboodiri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,11]]},"reference":[{"key":"10_CR1","unstructured":"Parikh, D., Grauman, K., Metaxas, D.N., Quan, L., Sanfeliu, A., Van Gool, L.J.: In: Proceedings of International Conference on Computer Vision (ICCV), pp. 503\u2013510. IEEE Computer Society (2011)"},{"key":"10_CR2","volume-title":"Gaussian Processes for Machine Learning","author":"CE Rasmussen","year":"2006","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian Processes for Machine Learning. The MIT Press, Cambridge (2006)"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Biswas, A., Parikh, D.: Simultaneous active learning of classifiers and attributes via relative feedback. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)","DOI":"10.1109\/CVPR.2013.89"},{"key":"10_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/978-3-642-15549-9_48","volume-title":"Computer Vision \u2013 ECCV 2010","author":"TL Berg","year":"2010","unstructured":"Berg, T.L., Berg, A.C., Shih, J.: Automatic attribute discovery and characterization from noisy web data. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 663\u2013676. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15549-9_48"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Lampert, C.H., Nickisch, H., Harmeling, S.: Learning to detect unseen object classes by between class attribute transfer. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (2009)","DOI":"10.1109\/CVPR.2009.5206594"},{"issue":"3","key":"10_CR6","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1109\/TPAMI.2013.140","volume":"36","author":"CH Lampert","year":"2014","unstructured":"Lampert, C.H., Nickisch, H., Harmeling, S.: Attribute-based classification for zero-shot visual object categorization. IEEE Trans. Pattern Anal. Mach. Intell. 36(3), 453\u2013465 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Akata, Z., Perronnin, F., Harchaoui, Z., Schmid, C.: Label-embedding for attribute-based classification. In: Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, 23\u201328 June 2013, pp. 819\u2013826 (2013)","DOI":"10.1109\/CVPR.2013.111"},{"key":"10_CR8","unstructured":"Jayaraman, D., Grauman, K.: Zero-shot learning with unreliable attributes. In: NIPS (2014)"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Yu, A., Grauman, K.: Just noticeable differences in visual attributes. In: International Conference on Computer Vision (ICCV), December 2015","DOI":"10.1109\/ICCV.2015.278"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"Elhoseiny, M., Saleh, B., Elgammal, A.: Write a classifier: zero-shot learning using purely textual descriptions. In: IEEE International Conference on Computer Vision (ICCV), December 2013","DOI":"10.1109\/ICCV.2013.321"},{"key":"10_CR11","unstructured":"Zhao, X., Kersting, K., Tresp, V.: Multi-relational learning with Gaussian processes. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena, California, USA, 11\u201317 July 2009, pp. 1309\u20131314 (2009)"},{"key":"10_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1007\/978-3-642-15986-2_24","volume-title":"Pattern Recognition","author":"E Rodner","year":"2010","unstructured":"Rodner, E., Denzler, J.: One-shot learning of object categories using dependent Gaussian processes. In: Goesele, M., Roth, S., Kuijper, A., Schiele, B., Schindler, K. (eds.) DAGM 2010. LNCS, vol. 6376, pp. 232\u2013241. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15986-2_24"},{"key":"10_CR13","first-page":"3011","volume":"11","author":"CE Rasmussen","year":"2010","unstructured":"Rasmussen, C.E., Nickisch, H.: Gaussian processes for machine learning (GPML) toolbox. J. Mach. Learn. Res. 11, 3011\u20133015 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Zhen-Yong, F., Xiang, T.A., Kodirov, E., Gong, S.: Zero-shot object recognition by semantic manifold distance. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, MA, USA, 7\u201312 June 2015, pp. 2635\u20132644 (2015)","DOI":"10.1109\/CVPR.2015.7298879"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Mensink, T.E.J., Gavves, E., Snoek, C.G.M.: COSTA: co-occurrence statistics for zero-shot classification. In: IEEE Conference on Computer Vision and Pattern Recognition (2014)","DOI":"10.1109\/CVPR.2014.313"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-54193-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T16:08:47Z","timestamp":1750090127000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-54193-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319541921","9783319541938"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-54193-8_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}