{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T04:25:54Z","timestamp":1745987154990,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642373305"},{"type":"electronic","value":"9783642373312"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-37331-2_36","type":"book-chapter","created":{"date-parts":[[2013,3,27]],"date-time":"2013-03-27T01:33:06Z","timestamp":1364347986000},"page":"474-485","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning"],"prefix":"10.1007","author":[{"given":"Tianzhu","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Rui","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Zhiwei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hanqing","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"36_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/11744023_3","volume-title":"Computer Vision \u2013 ECCV 2006","author":"A. Agarwal","year":"2006","unstructured":"Agarwal, A., Triggs, B.: Hyperfeatures \u2013 Multilevel Local Coding for Visual Recognition. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.\u00a03951, pp. 30\u201343. Springer, Heidelberg (2006)"},{"key":"36_CR2","unstructured":"Kavukcuoglu, K., Sermanet, P., Boureau, Y.L., Gregor, K., Mathieu, M., LeCun, Y.: Learning convolutional feature hierarchies for visual recognition. In: NIPS (2010)"},{"key":"36_CR3","doi-asserted-by":"crossref","unstructured":"Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: CVPR (2) (2006)","DOI":"10.1109\/CVPR.2006.68"},{"key":"36_CR4","doi-asserted-by":"crossref","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: ICML (2009)","DOI":"10.1145\/1553374.1553453"},{"key":"36_CR5","unstructured":"Yang, J., Yu, K., Gong, Y., Huang, T.S.: Linear spatial pyramid matching using sparse coding for image classification. In: CVPR, pp. 1794\u20131801 (2009)"},{"key":"36_CR6","doi-asserted-by":"crossref","unstructured":"Yang, J., Yu, K., Huang, T.S.: Supervised translation-invariant sparse coding. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5539958"},{"key":"36_CR7","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Krishnan, D., Taylor, G.W., Fergus, R.: Deconvolutional networks. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"36_CR8","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"D.G. Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis.\u00a060, 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"36_CR9","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","volume":"106","author":"F.F. Li","year":"2007","unstructured":"Li, F.F., Fergus, R., Perona, P.: Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Computer Vision and Image Understanding\u00a0106, 59\u201370 (2007)","journal-title":"Computer Vision and Image Understanding"},{"key":"36_CR10","unstructured":"Everingham, M., Van\u00a0Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results (2007)"},{"key":"36_CR11","doi-asserted-by":"crossref","unstructured":"Uijlings, J.R.R., Smeulders, A.W.M., Scha, R.J.H.: What is the spatial extent of an object? In: CVPR (2009)","DOI":"10.1109\/CVPRW.2009.5206663"},{"key":"36_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, T., Ghanem, B., Liu, S., Ahuja, N.: Robust visual tracking via multi-task sparse learning. In: CVPR, pp. 2042\u20132049 (2012)","DOI":"10.1109\/CVPR.2012.6247908"},{"key":"36_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y. Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Foundations and Trends in Machine Learning\u00a02, 1\u2013127 (2009)","journal-title":"Foundations and Trends in Machine Learning"},{"key":"36_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1007\/978-3-642-15555-0_50","volume-title":"Computer Vision \u2013 ECCV 2010","author":"S. Fidler","year":"2010","unstructured":"Fidler, S., Boben, M., Leonardis, A.: A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol.\u00a06315, pp. 687\u2013700. Springer, Heidelberg (2010)"},{"key":"36_CR15","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1109\/TPAMI.2007.56","volume":"29","author":"T. Serre","year":"2007","unstructured":"Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., Poggio, T.: Robust object recognition with cortex-like mechanisms. IEEE TPAMI\u00a029, 411\u2013426 (2007)","journal-title":"IEEE TPAMI"},{"key":"36_CR16","doi-asserted-by":"crossref","unstructured":"Lee, H., Battle, A., Raina, R., Ng, A.Y.: Efficient sparse coding algorithms. In: NIPS, pp. 801\u2013808 (2006)","DOI":"10.7551\/mitpress\/7503.003.0105"},{"key":"36_CR17","unstructured":"Everingham, M., Zisserman, A., Williams, C.K.I., Van Gool, L.: The PASCAL Visual Object Classes Challenge 2006 (VOC2006) Results (2006)"},{"key":"36_CR18","doi-asserted-by":"crossref","unstructured":"Yang, L., Jin, R., Sukthankar, R., Jurie, F.: Unifying discriminative visual codebook generation with classifier training for object category recognition. In: CVPR (2008)","DOI":"10.1109\/CVPR.2008.4587504"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2012"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-37331-2_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T02:13:36Z","timestamp":1745979216000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-37331-2_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642373305","9783642373312"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-37331-2_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}