{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T19:12:36Z","timestamp":1743016356107,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319541808"},{"type":"electronic","value":"9783319541815"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-54181-5_22","type":"book-chapter","created":{"date-parts":[[2017,3,9]],"date-time":"2017-03-09T15:27:37Z","timestamp":1489073257000},"page":"338-352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions"],"prefix":"10.1007","author":[{"given":"Frederick","family":"Tung","sequence":"first","affiliation":[]},{"given":"James J.","family":"Little","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,10]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: ImageNet large scale visual recognition challenge (2014). arXiv:1409.0575","DOI":"10.1007\/s11263-015-0816-y"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft COCO: common objects in context. In: Proceedings of European Conference on Computer Vision (2014)","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Song, S., Lichtenberg, S., Xiao, J.: SUN RGB-D: a RGB-D scene understanding benchmark suite. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR5","unstructured":"Kulis, B., Darrell, T.: Learning to hash with binary reconstructive embeddings. In: Advances in Neural Information Processing Systems (2009)"},{"key":"22_CR6","unstructured":"Norouzi, M., Fleet, D.J.: Minimal loss hashing for compact binary codes. In: Proceedings of International Conference in Machine Learning (2011)"},{"key":"22_CR7","unstructured":"Liu, W., Wang, J., Ji, R., Jiang, Y.G., Chang, S.F.: Supervised hashing with kernels. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2012)"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2013","unstructured":"Gong, Y., Lazebnik, S., Gordo, A., Perronnin, F.: Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35, 2916\u20132929 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Ge, T., He, K., Sun, J.: Graph cuts for supervised binary coding. In: Proceedigs of European Conference on Computer Vision (2014)","DOI":"10.1007\/978-3-319-10584-0_17"},{"key":"22_CR10","unstructured":"Xia, Y., He, K., Kohli, P., Sun, J.: Sparse projections for high-dimensional binary codes. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2015)"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Cakir, F., Sclaroff, S.: Adaptive hashing for fast similarity search. In: Proceedings of IEEE International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.125"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Shen, F., Shen, C., Liu, W., Shen, H.T.: Supervised discrete hashing. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Carreira, J., Caseiro, R., Batista, J., Sminchisescu, C.: Semantic segmentation with second-order pooling. In: Proceedings of European Conference on Computer Vision (2012)","DOI":"10.1007\/978-3-642-33786-4_32"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Perronnin, F., S\u00e1nchez, J., Mensink, T.: Improving the Fisher kernel for large-scale image classification. In: Proceedings of European Conference on Computer Vision (2010)","DOI":"10.1007\/978-3-642-15561-1_11"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: Proceedings of British Machine Vision Conference (2014)","DOI":"10.5244\/C.28.6"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Gong, Y., Kumar, S., Rowley, H.A., Lazebnik, S.: Learning binary codes for high-dimensional data using bilinear projections. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2013)","DOI":"10.1109\/CVPR.2013.69"},{"key":"22_CR17","unstructured":"Gionis, A., Indyk, P., Motwani, R.: Similarity search in high dimensions via hashing. In: Proceedings of International Conference on Very Large Data Bases (1999)"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Charikar, M.S.: Similarity estimation techniques from rounding algorithms. In: Proceedings of ACM Symposium on Theory of Computing (2002)","DOI":"10.1145\/509907.509965"},{"key":"22_CR19","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1109\/TPAMI.2011.219","volume":"34","author":"B Kulis","year":"2012","unstructured":"Kulis, B., Grauman, K.: Kernelized locality-sensitive hashing. IEEE Trans. Pattern Anal. Mach. Intell. 34, 1092\u20131104 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR20","unstructured":"Jiang, K., Que, Q., Kulis, B.: Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2015)"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"J\u00e9gou, H., Douze, M., Schmid, C., P\u00e9rez, P.: Aggregating local descriptors into a compact image representation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2010)","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"22_CR22","unstructured":"Yu, F.X., Kumar, S., Gong, Y., Chang, S.F.: Circulant binary embedding. In: Proceedings of International Conference in Machine Learning (2014)"},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Rastegari, M., Keskin, C., Kohli, P., Izadi, S.: Computationally bounded retrieval. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7298757"},{"key":"22_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yu, F.X., Guo, R., Kumar, S., Wang, S., Chang, S.F.: Fast orthogonal projection based on Kronecker product. In: Proceedings of IEEE International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.335"},{"key":"22_CR25","doi-asserted-by":"crossref","unstructured":"Norouzi, M., Punjani, A., Fleet, D.J.: Fast search in Hamming space with multi-index hashing. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2012)","DOI":"10.1109\/CVPR.2012.6248043"},{"key":"22_CR26","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1137\/080714488","volume":"31","author":"E van den Berg","year":"2008","unstructured":"van den Berg, E., Friedlander, M.P.: Probing the pareto frontier for basis pursuit solutions. SIAM J. Sci. Comput. 31, 890\u2013912 (2008)","journal-title":"SIAM J. Sci. Comput."},{"key":"22_CR27","doi-asserted-by":"crossref","unstructured":"Dean, T., Ruzon, M.A., Segal, M., Shlens, J., Vijayanarasimhan, S., Yagnik, J.: Fast, accurate detection of 100,000 object classes on a single machine. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2013)","DOI":"10.1109\/CVPR.2013.237"},{"key":"22_CR28","unstructured":"Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: Learning deep features for scene recognition using Places database. In: Advances in Neural Information Processing Systems (2014)"},{"key":"22_CR29","doi-asserted-by":"crossref","unstructured":"Xiao, J., Hays, J., Ehinger, K., Oliva, A., Torralba, A.: SUN database: large-scale scene recognition from abbey to zoo. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3485\u20133492 (2010)","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"22_CR30","doi-asserted-by":"crossref","unstructured":"Lampert, C.H., Nickisch, H., Harmeling, S.: Learning to detect unseen object classes by between-class attribute transfer. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 951\u2013958 (2009)","DOI":"10.1109\/CVPRW.2009.5206594"},{"key":"22_CR31","doi-asserted-by":"crossref","unstructured":"Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1778\u20131785 (2009)","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"22_CR32","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition (2014). arXiv:1409.1556"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2016"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-54181-5_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T15:28:26Z","timestamp":1710170906000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-54181-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319541808","9783319541815"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-54181-5_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"10 March 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"20 November 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"accv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.accv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}