{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:08:55Z","timestamp":1742951335576,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319232331"},{"type":"electronic","value":"9783319232348"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-23234-8_30","type":"book-chapter","created":{"date-parts":[[2015,8,20]],"date-time":"2015-08-20T02:51:41Z","timestamp":1440039101000},"page":"320-331","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Learning Free Naive Bayes Nearest Neighbor-Based Domain Adaptation"],"prefix":"10.1007","author":[{"given":"Faraz","family":"Saeedan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Caputo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,21]]},"reference":[{"key":"30_CR1","first-page":"346","volume":"110","author":"H Bay","year":"2008","unstructured":"Bay, H., Ess, A., Tuytelaars, T., Gool, V.: SURF: Speeded up robust features. CVIU 110, 346\u2013359 (2008)","journal-title":"CVIU"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Ben-David, S., Blitzer, J., Crammer, K., Pereira, F.: Anaylsis of representations for domain adaptation. In: NIPS (2007)","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"30_CR3","unstructured":"Bergamo, A., Torresani, L.: Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach. In: NIPS (2010)"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Blitzer, J., McDonald, R., Pereira, F.: Domain adaptation with structural correspondence learning. In: EMNLP (2006)","DOI":"10.3115\/1610075.1610094"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Boiman, O., Shechtman, E., Irani, M.: In defense of nearest-neighbor based image classification. In: CVPR (2008)","DOI":"10.1109\/CVPR.2008.4587598"},{"issue":"5","key":"30_CR6","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1109\/TPAMI.2009.57","volume":"32","author":"L Bruzzone","year":"2010","unstructured":"Bruzzone, L., Marconcini, M.: Domain adaptation problems: A DASVM classification technique and a circular validation strategy. IEEE PAMI 32(5), 770\u2013787 (2010)","journal-title":"IEEE PAMI"},{"key":"30_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1007\/978-3-319-11382-1_18","volume-title":"Information Access Evaluation","author":"B Caputo","year":"2014","unstructured":"Caputo, B., M\u00fcller, H., Martinez-Gomez, J., Villegas, M., Acar, B., Patricia, N., Marvasti, N., \u00dcsk\u00fcdarl\u0131, S., Paredes, R., Cazorla, M., Garcia-Varea, I., Morell, V.: ImageCLEF 2014: overview and analysis of the results. In: Kanoulas, E., Lupu, M., Clough, P., Sanderson, M., Hall, M., Hanbury, A., Toms, E. (eds.) CLEF 2014. LNCS, vol. 8685, pp. 192\u2013211. Springer, Heidelberg (2014)"},{"key":"30_CR8","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman A.: Return of the Devil in the Details: Delving Deep into Convolutional Nets"},{"key":"30_CR9","unstructured":"Daume III., H.: Frustratingly easy domain adaptation. In: ACL (2007)"},{"key":"30_CR10","unstructured":"Duan, L., Tsang, I.W.-H., Xu, D., Maybank, S.J.: Domain transfer svm for video concept detection. In: CVPR (2009)"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Fornoni, M., Caputo, B.: Scene recognition with naive bayes non-linear learning. In: Proc. ICPR (2014)","DOI":"10.1109\/ICPR.2014.586"},{"key":"30_CR12","unstructured":"Gong, B., Grauman, K., Sha, F.: Connecting the dots with landmarks: discriminatively learning domain-invariant features for unsupervised domain adaptation. In: JMLR (2013)"},{"key":"30_CR13","unstructured":"Gong, B., Shi, Y., Sha, F., Grauman, K.: Geodesic flow kernel for unsupervised domain adaptation. In: CVPR (2012)"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Gopalan, R., Li, R., Chellappa, R.: Domain adaptation for object recognition: an unsupervised approach. In: ICCV (2011)","DOI":"10.1109\/ICCV.2011.6126344"},{"key":"30_CR15","unstructured":"Griffin, G., Holub, A., Perona, P.: Caltech 256 object category dataset. Technical Report UCB\/USD-04-1366, California Institute of Technology (2007)"},{"key":"30_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/978-3-642-33718-5_12","volume-title":"Computer Vision \u2013 ECCV 2012","author":"A Khosla","year":"2012","unstructured":"Khosla, A., Zhou, T., Malisiewicz, T., Efros, A.A., Torralba, A.: Undoing the damage of dataset bias. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part I. LNCS, vol. 7572, pp. 158\u2013171. Springer, Heidelberg (2012)"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Ni, J., Qiu, Q., Chellappa, R.: Subspace interpolation via dictionary learning for unsupervised domain adaptation. In: CVPR (2013)","DOI":"10.1109\/CVPR.2013.95"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Patricia, N., Caputo, B.: Learning to learn, from transfer learning to domain adaptation: a unifying persspective. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.187"},{"key":"30_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1007\/978-3-642-33765-9_45","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Q Qiu","year":"2012","unstructured":"Qiu, Q., Patel, V.M., Turaga, P., Chellappa, R.: Domain adaptive dictionary learning. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part IV. LNCS, vol. 7575, pp. 631\u2013645. Springer, Heidelberg (2012)"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Quionero-Candela, J., Sugiyama, M., Schwaighofer, A., Lawrence, N.: Dataset Shift in Machine Learning. The MIT Press (2009)","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"30_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-642-15561-1_16","volume-title":"Computer Vision \u2013 ECCV 2010","author":"K Saenko","year":"2010","unstructured":"Saenko, K., Kulis, B., Fritz, M., Darrell, T.: Adapting visual category models to new domains. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 213\u2013226. Springer, Heidelberg (2010)"},{"key":"30_CR22","doi-asserted-by":"crossref","unstructured":"Tommasi, T., Caputo, B.: The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories. In: Proc. BMVC (2009)","DOI":"10.5244\/C.23.80"},{"key":"30_CR23","doi-asserted-by":"crossref","unstructured":"Tommasi, T., Caputo, B.: Frustratingly easy NBNN domain adaptation. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.116"},{"issue":"5","key":"30_CR24","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1109\/TPAMI.2013.197","volume":"36","author":"T Tommasi","year":"2014","unstructured":"Tommasi, T., Orabona, F., Caputo, B.: Learning categories from few examples with multi model knowledge transfer. IEEE Transaction on PAMI 36(5), 928\u2013941 (2014)","journal-title":"IEEE Transaction on PAMI"},{"key":"30_CR25","doi-asserted-by":"crossref","unstructured":"Tommasi, T., Orabona, F., Castellini, C., Caputo, B.: Improving control of dexterous hand prostheses using adaptive learning. IEEE Transaction on Robotics, pp. 1\u201313 (2013)","DOI":"10.1109\/TRO.2012.2226386"},{"key":"30_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-37331-2_1","volume-title":"Computer Vision \u2013 ACCV 2012","author":"T Tommasi","year":"2013","unstructured":"Tommasi, T., Quadrianto, N., Caputo, B., Lampert, C.H.: Beyond dataset bias: multi-task unaligned shared knowledge transfer. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012, Part I. LNCS, vol. 7724, pp. 1\u201315. Springer, Heidelberg (2013)"},{"key":"30_CR27","doi-asserted-by":"crossref","unstructured":"Torralba, A., Efros, A.A.: Unbiased look at dataset bias. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"30_CR28","doi-asserted-by":"crossref","unstructured":"Yang, J., Yan, R., Hauptmann, A.G.: Cross-domain video concept detection using adaptive svms. In: ACM Multimedia (2007)","DOI":"10.1145\/1291233.1291276"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2014 ICIAP 2015"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23234-8_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,13]],"date-time":"2023-08-13T08:20:34Z","timestamp":1691914834000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-23234-8_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319232331","9783319232348"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23234-8_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"21 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}