{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T00:17:23Z","timestamp":1778372243282,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Data to Decisions Cooperative Research Centre (www.d2dcrc.com.au)"},{"name":"NSERC"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3097991","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"75-83","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Robust Top-\n            <i>k<\/i>\n            Multiclass SVM for Visual Category Recognition"],"prefix":"10.1145","author":[{"given":"Xiaojun","family":"Chang","sequence":"first","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao-Liang","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Samy Bengio Jason Weston and David Grangier. 2010. Label Embedding Trees for Large Multi-Class Tasks. NIPS.  Samy Bengio Jason Weston and David Grangier. 2010. Label Embedding Trees for Large Multi-Class Tasks. NIPS."},{"key":"e_1_3_2_2_2_1","volume-title":"Recognition-by-components: a theory of human image understanding. Psychol Rev","author":"Biederman Irving","year":"1987","unstructured":"Irving Biederman . 1987. Recognition-by-components: a theory of human image understanding. Psychol Rev ( 1987 ). Irving Biederman. 1987. Recognition-by-components: a theory of human image understanding. Psychol Rev (1987)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Antoine Bordes L\u00e9on Bottou Patrick Gallinari and Jason Weston 2007. Solving multiclass support vector machines with LaRank ICML.  Antoine Bordes L\u00e9on Bottou Patrick Gallinari and Jason Weston 2007. Solving multiclass support vector machines with LaRank ICML.","DOI":"10.1145\/1273496.1273508"},{"key":"e_1_3_2_2_4_1","first-page":"265","article-title":"On the algorithmic implementation of multiclass kernel-based vector machines","volume":"2","author":"Crammer Koby","year":"2001","unstructured":"Koby Crammer and Yoram Singer 2001 . On the algorithmic implementation of multiclass kernel-based vector machines . Journal of Machine Learning Research Vol. 2 (2001), 265 -- 292 . Koby Crammer and Yoram Singer 2001. On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research Vol. 2 (2001), 265--292.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Jia Deng Jonathan Krause Alexander C. Berg and Fei-Fei Li 2012. Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition CVPR.  Jia Deng Jonathan Krause Alexander C. Berg and Fei-Fei Li 2012. Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition CVPR.","DOI":"10.1109\/CVPR.2012.6248086"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755882"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1442794"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","unstructured":"Tianshi Gao and Daphne Koller 2011. Discriminative learning of relaxed hierarchy for large-scale visual recognition ICCV.  Tianshi Gao and Daphne Koller 2011. Discriminative learning of relaxed hierarchy for large-scale visual recognition ICCV.","DOI":"10.1109\/ICCV.2011.6126481"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2638582"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.991427"},{"key":"e_1_3_2_2_11_1","unstructured":"Yu-Gang Jiang Zuxuan Wu Jun Wang Xiangyang Xue and Shih-Fu Chang 2015. Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. (2015). shownotearXiv:1502.07209.  Yu-Gang Jiang Zuxuan Wu Jun Wang Xiangyang Xue and Shih-Fu Chang 2015. Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. (2015). shownotearXiv:1502.07209."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"e_1_3_2_2_13_1","volume-title":"Berg","author":"Kiapour M. Hadi","year":"2015","unstructured":"M. Hadi Kiapour , Xufeng Han , Svetlana Lazebnik , Alexander C. Berg , and Tamara L . Berg . 2015 . ICCV. M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, and Tamara L. Berg. 2015. ICCV."},{"key":"e_1_3_2_2_14_1","volume-title":"Loss Functions for Top-k Error: Analysis and Insights. CoRR","author":"Lapin Maksim","year":"2015","unstructured":"Maksim Lapin , Matthias Hein , and Bernt Schiele . 2015natexlaba. Loss Functions for Top-k Error: Analysis and Insights. CoRR Vol. abs\/ 1512 .00486 ( 2015 ). Maksim Lapin, Matthias Hein, and Bernt Schiele. 2015natexlaba. Loss Functions for Top-k Error: Analysis and Insights. CoRR Vol. abs\/1512.00486 (2015)."},{"key":"e_1_3_2_2_15_1","unstructured":"Maksim Lapin Bernt Schiele and Matthias Hein. 2015natexlabb. Top-k Multiclass SVM. In NIPS.  Maksim Lapin Bernt Schiele and Matthias Hein. 2015natexlabb. Top- k Multiclass SVM. In NIPS."},{"key":"e_1_3_2_2_16_1","unstructured":"Nan Li Rong Jin and Zhi-Hua Zhou 2014. Top Rank Optimization in Linear Time. In NIPS.  Nan Li Rong Jin and Zhi-Hua Zhou 2014. Top Rank Optimization in Linear Time. In NIPS."},{"key":"e_1_3_2_2_17_1","unstructured":"Baoyuan Liu Fereshteh Sadeghi Marshall F. Tappen Ohad Shamir and Ce Liu 2013. Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR.  Baoyuan Liu Fereshteh Sadeghi Marshall F. Tappen Ohad Shamir and Ce Liu 2013. Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR."},{"key":"e_1_3_2_2_18_1","volume-title":"Transductive Optimization of Top k Precision. CoRR","author":"Liu Li-Ping","year":"2015","unstructured":"Li-Ping Liu , Thomas G. Dietterich , Nan Li , and Zhi-Hua Zhou 2015. Transductive Optimization of Top k Precision. CoRR Vol. abs\/ 1510 .05976 ( 2015 ). Li-Ping Liu, Thomas G. Dietterich, Nan Li, and Zhi-Hua Zhou 2015. Transductive Optimization of Top k Precision. CoRR Vol. abs\/1510.05976 (2015)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000781"},{"key":"e_1_3_2_2_20_1","unstructured":"John C. Platt Nello Cristianini and John Shawe-Taylor. 1999. Large Margin DAGs for Multiclass Classification. NIPS.  John C. Platt Nello Cristianini and John Shawe-Taylor. 1999. Large Margin DAGs for Multiclass Classification. NIPS."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206537"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005336"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-014-0839-0"},{"key":"e_1_3_2_2_24_1","unstructured":"Karen Simonyan and Andrew Zisserman 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition ICLR.  Karen Simonyan and Andrew Zisserman 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition ICLR."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Hyun Oh Song Stefan Zickler Tim Althoff Ross B. Girshick Mario Fritz Christopher Geyer Pedro F. Felzenszwalb and Trevor Darrell 2012. Sparselet Models for Efficient Multiclass Object Detection ECCV.  Hyun Oh Song Stefan Zickler Tim Althoff Ross B. Girshick Mario Fritz Christopher Geyer Pedro F. Felzenszwalb and Trevor Darrell 2012. Sparselet Models for Efficient Multiclass Object Detection ECCV.","DOI":"10.1007\/978-3-642-33709-3_57"},{"key":"e_1_3_2_2_26_1","volume-title":"Amir Roshan Zamir, and Mubarak Shah","author":"Soomro Khurram","year":"2012","unstructured":"Khurram Soomro , Amir Roshan Zamir, and Mubarak Shah . 2012 . UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild. CoRR Vol . abs\/1212.0402 (2012). Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah. 2012. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild. CoRR Vol. abs\/1212.0402 (2012)."},{"key":"e_1_3_2_2_27_1","volume-title":"Frey","author":"Swersky Kevin","year":"2012","unstructured":"Kevin Swersky , Daniel Tarlow , Ryan P. Adams , Richard S. Zemel , and Brendan J . Frey 2012 . Probabilistic n-Choose-k Models for Classification and Ranking NIPS. Kevin Swersky, Daniel Tarlow, Ryan P. Adams, Richard S. Zemel, and Brendan J. Frey 2012. Probabilistic n-Choose-k Models for Classification and Ranking NIPS."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623494274313"},{"key":"e_1_3_2_2_29_1","unstructured":"Zuxuan Wu Xi Wang Yu-Gang Jiang Hao Ye and Xiangyang Xue 2015. Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification ACM MM.  Zuxuan Wu Xi Wang Yu-Gang Jiang Hao Ye and Xiangyang Xue 2015. Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification ACM MM."},{"key":"e_1_3_2_2_30_1","unstructured":"Yaoliang Yu. 2013. On Decomposing the Proximal Map. In NIPS.  Yaoliang Yu. 2013. On Decomposing the Proximal Map. In NIPS."},{"key":"e_1_3_2_2_31_1","unstructured":"Yaoliang Yu \u00d6zlem Aslan and Dale Schuurmans. 2012. A Polynomial-time Form of Robust Regression. In NIPS.  Yaoliang Yu \u00d6zlem Aslan and Dale Schuurmans. 2012. A Polynomial-time Form of Robust Regression. In NIPS."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1044701"}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada","acronym":"KDD '17","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3097991","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3097991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:03:42Z","timestamp":1750273422000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3097991"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":32,"alternative-id":["10.1145\/3097983.3097991","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3097991","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}