{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T04:21:58Z","timestamp":1745986918886,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642366680"},{"type":"electronic","value":"9783642366697"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-36669-7_63","type":"book-chapter","created":{"date-parts":[[2013,2,6]],"date-time":"2013-02-06T01:53:35Z","timestamp":1360115615000},"page":"514-521","source":"Crossref","is-referenced-by-count":0,"title":["Learning Attribute Relation in Attribute-Based Zero-Shot Classification"],"prefix":"10.1007","author":[{"given":"Mingxia","family":"Liu","sequence":"first","affiliation":[]},{"given":"Songcan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Daoqiang","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"63_CR1","doi-asserted-by":"crossref","unstructured":"Farhadi, A., et al.: Describing Objects by Their Attributes. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2009)","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"63_CR2","doi-asserted-by":"crossref","unstructured":"Rohrbach, M., et al.: What Helps Where - and Why? Semantic Relatedness for Knowledge transfer. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2010)","DOI":"10.1109\/CVPR.2010.5540121"},{"key":"63_CR3","unstructured":"Lang, H., Ling, H.: Classifying Covert Photographs. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2012)"},{"key":"63_CR4","doi-asserted-by":"crossref","unstructured":"Wang, Y., Mori, G.: A Discriminative Latent Model of Object Classes and Attributes. Perspectives in Neural Computing, 155\u2013168 (2010)","DOI":"10.1007\/978-3-642-15555-0_12"},{"key":"63_CR5","doi-asserted-by":"crossref","unstructured":"Siddiquie, B., et al.: Image Ranking and Retrieval based on Multi-attribute Queries. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2011)","DOI":"10.1109\/CVPR.2011.5995329"},{"key":"63_CR6","doi-asserted-by":"crossref","unstructured":"Rohrbach, M., et al.: Evaluating Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2011)","DOI":"10.1109\/CVPR.2011.5995627"},{"key":"63_CR7","unstructured":"Larochelle, H., et al.: Zero-data Learning of New Tasks. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence (2008)"},{"key":"63_CR8","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1126\/science.1152876","volume":"320","author":"T.M. Mitchell","year":"2008","unstructured":"Mitchell, T.M., et al.: Predicting Human Brain Activity Associated with the Meanings of Nouns. Science\u00a0320, 1191\u20131195 (2008)","journal-title":"Science"},{"key":"63_CR9","unstructured":"Palatucci, M., et al.: Zero-Shot Learning with Semantic Output Codes. In: Advances in Neural Information Processing Systems (2009)"},{"key":"63_CR10","doi-asserted-by":"crossref","unstructured":"Lampert, C.H., et al.: Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2009)","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"63_CR11","doi-asserted-by":"crossref","unstructured":"Farhadi, A., et al.: Attribute-centric Recognition for Cross-category Generalization. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2010)","DOI":"10.1109\/CVPR.2010.5539924"},{"key":"63_CR12","doi-asserted-by":"crossref","unstructured":"Parikh, D., Grauman, K.: Interactively Building a Discriminative Vocabulary of Nameable Attributes. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2011)","DOI":"10.1109\/CVPR.2011.5995451"},{"key":"63_CR13","doi-asserted-by":"crossref","unstructured":"Kovashka, A., et al.: Actively Selecting Annotations among Objects and Attributes. In: IEEE International Conference on Computer Vision (2011)","DOI":"10.1109\/ICCV.2011.6126395"},{"key":"63_CR14","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10994-007-5040-8","volume":"73","author":"A. Argyriou","year":"2008","unstructured":"Argyriou, A., et al.: Convex Multi-task Feature Learning. Machine Learning\u00a073, 243\u2013272 (2008)","journal-title":"Machine Learning"},{"key":"63_CR15","unstructured":"Bonilla, E., et al.: Multi-task Gaussian Process Prediction. In: Proceedings of NIPS (2007)"},{"key":"63_CR16","unstructured":"Zhang, Y., Yeung, D.-Y.: A Convex Formulation for Learning Task Relationships in Multi-Task Learning. In: Proceedings of UAI, pp. 733\u2013742 (2010)"},{"key":"63_CR17","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1198\/jasa.2003.s280","volume":"98","author":"A.L. Rukhin","year":"2003","unstructured":"Rukhin, A.L.: Matrix Variate Distributions. Journal of the American Statistical Association\u00a098, 462, 495\u2013496 (2003)","journal-title":"Journal of the American Statistical Association"},{"key":"63_CR18","volume-title":"Pattern Recognition and Machine Learning","author":"C.M. Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)"},{"key":"63_CR19","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/B:MACH.0000008082.80494.e0","volume":"54","author":"T. Gestel Van","year":"2004","unstructured":"Van Gestel, T., et al.: Benchmarking Least Squares Support Vector Machine Classifiers. Machine Learning\u00a054, 5\u201332 (2004)","journal-title":"Machine Learning"},{"key":"63_CR20","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1162\/089976603762553013","volume":"15","author":"S.S. Keerthi","year":"2003","unstructured":"Keerthi, S.S., Shevade, S.K.: SMO Algorithm for Least-squares SVM Formulation. Neural Computation\u00a015, 487\u2013507 (2003)","journal-title":"Neural Computation"},{"key":"63_CR21","doi-asserted-by":"crossref","unstructured":"Teytaud, O., Jalam, R.: Kernel-based Text Categorization. In: International Joint Conference on Neural Networks, vol.\u00a03, pp. 1891\u20131896 (2001)","DOI":"10.1109\/IJCNN.2001.938452"},{"key":"63_CR22","unstructured":"Platt, J.C.: Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods. In: Smola, A.J., Bartlett, P., Sch\u00f6lkopf, B., Schuurmans, D. (eds.) Advances in Large Margin Classifiers, pp. 61\u201374 (1999)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Science and Intelligent Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-36669-7_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T19:42:03Z","timestamp":1745955723000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-36669-7_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642366680","9783642366697"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-36669-7_63","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}