{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T01:37:02Z","timestamp":1725845822040},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319276731"},{"type":"electronic","value":"9783319276748"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-27674-8_22","type":"book-chapter","created":{"date-parts":[[2015,12,31]],"date-time":"2015-12-31T09:47:31Z","timestamp":1451555251000},"page":"244-255","source":"Crossref","is-referenced-by-count":1,"title":["Discriminant Manifold Learning via Sparse Coding for Image Analysis"],"prefix":"10.1007","author":[{"given":"Meng","family":"Pang","sequence":"first","affiliation":[]},{"given":"Binghui","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Chuang","family":"Lin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,1,1]]},"reference":[{"unstructured":"Turk, M., Pentland, A. P.: Face recognition using eigenfaces. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 586\u2013591 (1991)","key":"22_CR1"},{"issue":"10","key":"22_CR2","doi-asserted-by":"publisher","first-page":"4413","DOI":"10.1109\/TIP.2014.2348868","volume":"23","author":"S Nikitidis","year":"2014","unstructured":"Nikitidis, S., et al.: Maximum margin projection subspace learning for visual data analysis. IEEE Trans. Image Process. (TIP) 23(10), 4413\u20134425 (2014)","journal-title":"IEEE Trans. Image Process. (TIP)"},{"doi-asserted-by":"crossref","unstructured":"Jin, W., Liu, R., et al.: Robust visual tracking using latent subspace projection pursuit. In: IEEE International Conference on Multimedia and Expo (ICME) (2014)","key":"22_CR3","DOI":"10.1109\/ICME.2014.6890263"},{"issue":"2","key":"22_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/MSP.2010.939041","volume":"28","author":"X Jiang","year":"2011","unstructured":"Jiang, X.: Linear subspace learning-based dimensionality reduction. IEEE Signal Process. Mag. 28(2), 16\u201326 (2011)","journal-title":"IEEE Signal Process. Mag."},{"doi-asserted-by":"crossref","unstructured":"Huang, Z., Wang, R., Shan, S., Chen X.: Projection metric learning on grassmann manifold with application to video based face recognition. In: International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 140\u2013149 (2015)","key":"22_CR5","DOI":"10.1109\/CVPR.2015.7298609"},{"issue":"5500","key":"22_CR6","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323\u20132326 (2000)","journal-title":"Science"},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","volume":"27","author":"X He","year":"2005","unstructured":"He, X., Yan, S., et al.: Face recognition using laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 27, 328\u2013340 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"22_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-540-73871-8_9","volume-title":"Advanced Data Mining and Applications","author":"X Zeng","year":"2007","unstructured":"Zeng, X., Luo, S.-W.: A supervised subspace learning algorithm: supervised neighborhood preserving embedding. In: Alhajj, R., Gao, H., Li, X., Li, J., Za\u00efane, O.R. (eds.) ADMA 2007. LNCS (LNAI), vol. 4632, pp. 81\u201388. Springer, Heidelberg (2007)"},{"doi-asserted-by":"crossref","unstructured":"Cai, D., He, X., Zhou, K., Han, J., Bao, H.: Locality sensitive discriminant analysis. In: IJCAI, pp. 708\u2013713 (2007)","key":"22_CR9","DOI":"10.1109\/ICCV.2007.4408856"},{"issue":"1","key":"22_CR10","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S Yan","year":"2007","unstructured":"Yan, S., Xu, D., Zhang, B., Zhang, H.J., Yang, Q., Lin, S.: Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 29(1), 40\u201351 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"doi-asserted-by":"crossref","unstructured":"Wang, R., Chen, X.: Manifold discriminant analysis. In: International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 429\u2013436 (2009)","key":"22_CR11","DOI":"10.1109\/CVPR.2009.5206850"},{"issue":"9","key":"22_CR12","doi-asserted-by":"publisher","first-page":"1776","DOI":"10.1109\/TPAMI.2011.39","volume":"33","author":"R Wang","year":"2011","unstructured":"Wang, R., Shan, S., Chen, X., Chen, J., Gao, W.: Maximal linear embedding for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 33(9), 1776\u20131792 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"issue":"8","key":"22_CR13","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1049\/iet-ipr.2013.0539","volume":"8","author":"BH Wang","year":"2014","unstructured":"Wang, B.H., Lin, C., et al.: Neighbourhood sensitive preserving embedding for pattern classification. IET Image Proc. 8(8), 489\u2013497 (2014)","journal-title":"IET Image Proc."},{"issue":"23","key":"22_CR14","doi-asserted-by":"publisher","first-page":"3311","DOI":"10.1016\/S0042-6989(97)00169-7","volume":"37","author":"BA Olshausen","year":"1997","unstructured":"Olshausen, B.A., Field, D.J.: Sparse coding with an over-complete basis set: a strategy employed by V1? Vision. Res. 37(23), 3311\u20133325 (1997)","journal-title":"Vision. Res."},{"issue":"4","key":"22_CR15","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1109\/JSTSP.2007.910971","volume":"1","author":"SJ Kim","year":"2007","unstructured":"Kim, S.J., Koh, K., Lustig, M., Boyd, S., Gorinevsky, D.: An interior-point method for large-scale l1-regularized least squares. IEEE J. Sel. Top. Signal Process. 1(4), 606\u2013617 (2007)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"11","key":"22_CR16","doi-asserted-by":"publisher","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","volume":"54","author":"M Aharon","year":"2006","unstructured":"Aharon, M., Elad, M., Bruckstein, A.: The K-SVD: an algorithm for designing of overcomplete dictionaries for sparse representation. IEEE Trans. Image Process. (TIP) 54(11), 4311\u20134322 (2006)","journal-title":"IEEE Trans. Image Process. (TIP)"},{"issue":"2","key":"22_CR17","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 31(2), 210\u2013227 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"issue":"5","key":"22_CR18","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2010.2090535","volume":"20","author":"M Zheng","year":"2011","unstructured":"Zheng, M., Bu, J., Chen, C., Wang, C., Zhang, L., Qiu, G., Cai, D.: Graph regularized sparse coding for image representation. IEEE Trans. Image Process. (TIP) 20(5), 1327\u20131336 (2011)","journal-title":"IEEE Trans. Image Process. (TIP)"},{"doi-asserted-by":"crossref","unstructured":"Yang, M., Zhang, L., et al.: Metaface learning for sparse representation. In: International Conference on Image Processing (ICIP), pp. 1601\u20131604 (2010)","key":"22_CR19","DOI":"10.1109\/ICIP.2010.5652363"},{"doi-asserted-by":"crossref","unstructured":"Gao, S., Tsang, I. W. H., Chia, L. T., Zhao, P.: Local features are not lonely-laplacian sparse coding for image classification. In: Computer Vision and Pattern Recognition (CVPR), pp. 3555\u20133561 (2010)","key":"22_CR20","DOI":"10.1109\/CVPR.2010.5539943"},{"doi-asserted-by":"crossref","unstructured":"Wang, B., Pang, M., Lin, C., Fan, X.: Graph regularized non-negative matrix factorization with sparse coding. In: IEEE China Summit & International Conference On Signal and Information Processing (ChinaSIP), pp. 476\u2013480 (2013)","key":"22_CR21","DOI":"10.1109\/ChinaSIP.2013.6625385"},{"doi-asserted-by":"crossref","unstructured":"Zhang, L., Zhu, P., et al.: A linear subspace learning approach via sparse coding. In: IEEE International Conference on Computer Vision (ICCV), pp. 755\u2013761 (2011)","key":"22_CR22","DOI":"10.1109\/ICCV.2011.6126313"},{"issue":"1","key":"22_CR23","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/TNN.2005.860852","volume":"17","author":"H Li","year":"2006","unstructured":"Li, H., Jiang, T., Zhang, K.: Efficient and robust feature extraction by maximum margin criterion. IEEE Trans. Neural Netw. 17(1), 157\u2013165 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"6","key":"22_CR24","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1109\/34.927464","volume":"23","author":"AS Georghiades","year":"2001","unstructured":"Georghiades, A.S., et al.: From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 23(6), 643\u2013660 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"unstructured":"Sim, T., Baker, S., Bsat, M.: The CMU Pose Illumination, and Expression (PIE) database. In: FG, pp. 46\u201351 (2002)","key":"22_CR25"},{"issue":"6755","key":"22_CR26","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788\u2013791 (1999)","journal-title":"Nature"},{"issue":"8","key":"22_CR27","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","volume":"33","author":"D Cai","year":"2011","unstructured":"Cai, D., He, X., Han, J., Huang, T.S.: Graph regularized non-negative matrix factorization for data representation. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 33(8), 1548\u20131560 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"unstructured":"Nene, S. A., Nayar, S. K., Murase, H.: Columbia object image library (coil-20). Technical Report CUCS-005-96 (1996)","key":"22_CR28"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-27674-8_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T03:44:18Z","timestamp":1559360658000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-27674-8_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319276731","9783319276748"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-27674-8_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}