{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:26:03Z","timestamp":1743074763774,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319464534"},{"type":"electronic","value":"9783319464541"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","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":[[2016]]},"DOI":"10.1007\/978-3-319-46454-1_51","type":"book-chapter","created":{"date-parts":[[2016,9,15]],"date-time":"2016-09-15T09:15:09Z","timestamp":1473930909000},"page":"842-857","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Partial Linearization Based Optimization for Multi-class SVM"],"prefix":"10.1007","author":[{"given":"Pritish","family":"Mohapatra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Puneet Kumar","family":"Dokania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. V.","family":"Jawahar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Pawan","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,16]]},"reference":[{"key":"51_CR1","first-page":"1775","volume":"9","author":"M Collins","year":"2008","unstructured":"Collins, M., Globerson, A., Koo, T., Carreras, X., Bartlett, P.L.: Exponentiated gradient algorithms for conditional random fields and max-margin markov networks. J. Mach. Learn. Res. 9, 1775\u20131822 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"51_CR2","first-page":"265","volume":"2","author":"K Crammer","year":"2001","unstructured":"Crammer, K., Singer, Y.: On the algorithmic implementation of multiclass kernel-based vector machines. J. Mach. Learn. Res. 2, 265\u2013292 (2001)","journal-title":"J. Mach. Learn. Res."},{"key":"51_CR3","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"4","key":"51_CR4","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1111\/j.1467-9574.1988.tb01238.x","volume":"42","author":"J. Engel","year":"1988","unstructured":"Engel, J.: Polytomous logistic regression. Statistica Neerlandica (1988)","journal-title":"Statistica Neerlandica"},{"key":"51_CR5","unstructured":"Everingham, M., Van\u00a0Gool, L., Williams, C., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. \n                      http:\/\/www.pascal-network.org\/challenges\/VOC\/voc2007\/workshop\/index.html"},{"key":"51_CR6","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C., Winn, J., Zisserman, A.: The PASCAL visual object classes (VOC) challenge. IJCV 88, 303\u2013338 (2010)","journal-title":"IJCV"},{"key":"51_CR7","doi-asserted-by":"crossref","unstructured":"Fothergill, S., Mentis, H., Kohli, P., Nowozin, S.: Instructing people for training gestural interactive systems. In: SIGCHI Conference on Human Factors in Computing Systems (2012)","DOI":"10.1145\/2207676.2208303"},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Frank, M., Wolfe, P.: An algorithm for quadratic programming. Naval research logistics quarterly (1956)","DOI":"10.1002\/nav.3800030109"},{"key":"51_CR9","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"51_CR10","unstructured":"Jaggi, M.: Revisiting frank-wolfe: projection-free sparse convex optimization. In: ICML (2013)"},{"key":"51_CR11","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s10994-009-5108-8","volume":"77","author":"T Joachims","year":"2009","unstructured":"Joachims, T., Finley, T., Yu, C.J.: Cutting-plane training of structural SVMs. Mach. Learn. 77, 27\u201359 (2009). Springer","journal-title":"Mach. Learn."},{"key":"51_CR12","first-page":"301","volume":"45","author":"J Kivinen","year":"2001","unstructured":"Kivinen, J., Warmuth, M.: Relative loss bounds for multidimensional regression problems. JMLR 45, 301\u2013329 (2001)","journal-title":"JMLR"},{"key":"51_CR13","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images (2009)"},{"key":"51_CR14","unstructured":"Lacoste-Julien, S., Jaggi, M., Schmidt, M., Pletscher, P.: Block-coordinate frank-wolfe for structural SVMs. In: ICML (2012)"},{"key":"51_CR15","doi-asserted-by":"crossref","unstructured":"Maji, S., Bourdev, L., Malik, J.: Action recognition from a distributed representation of pose and appearance. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995631"},{"key":"51_CR16","doi-asserted-by":"crossref","unstructured":"Malouf, R.: A comparison of algorithms for maximum entropy parameter estimation. In: Conference on Natural Language Learning (2002)","DOI":"10.3115\/1118853.1118871"},{"key":"51_CR17","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/BF00939668","volume":"78","author":"M Patriksson","year":"1993","unstructured":"Patriksson, M.: Partial linearization methods in nonlinear programming. J. Optim. Theory Appl. 78, 227\u2013246 (1993). Springer","journal-title":"J. Optim. Theory Appl."},{"key":"51_CR18","unstructured":"Quinlan, J.: Classification and regression trees. Programs for Machine Learning (2011)"},{"key":"51_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10107-010-0420-4","volume":"127","author":"S Shalev-Shwartz","year":"2011","unstructured":"Shalev-Shwartz, S., Singer, Y., Srebro, N., Cotter, A.: Pegasos: primal estimated sub-gradient solver for SVM. Math. Program. 127, 3\u201330 (2011). Springer","journal-title":"Math. Program."},{"key":"51_CR20","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"51_CR21","unstructured":"Taskar, B., Guestrin, C., Koller, D.: Max-margin markov networks. In: NIPS (2004)"},{"key":"51_CR22","doi-asserted-by":"crossref","unstructured":"Wainwright, M.J., Jordan, M.: Graphical models, exponential families, and variational inference. Foundations and Trends$$\\textregistered $$ in Machine Learning (2008)","DOI":"10.1561\/9781601981851"},{"key":"51_CR23","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.tcs.2013.09.026","volume":"519","author":"X Zhang","year":"2014","unstructured":"Zhang, X., Saha, A., Vishwanathan, S.: Accelerated training of max-margin markov networks with kernels. Theoret. Comput. Sci. 519, 88\u2013102 (2014). Elsevier","journal-title":"Theoret. Comput. Sci."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46454-1_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T00:04:41Z","timestamp":1602288281000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46454-1_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464534","9783319464541"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46454-1_51","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"16 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}