{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:56:15Z","timestamp":1760385375449},"reference-count":31,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2014]]},"DOI":"10.1587\/transinf.2013edp7422","type":"journal-article","created":{"date-parts":[[2014,8,31]],"date-time":"2014-08-31T23:32:28Z","timestamp":1409527948000},"page":"2434-2442","source":"Crossref","is-referenced-by-count":1,"title":["Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition"],"prefix":"10.1587","volume":"E97.D","author":[{"given":"Ruicong","family":"ZHI","sequence":"first","affiliation":[{"name":"School of Computer & Information Technology, Beijing Jiaotong University"},{"name":"Institute of Food and Agricultural Standardization, China National Institute of Standardization"}]},{"given":"Lei","family":"ZHAO","sequence":"additional","affiliation":[{"name":"Institute of Food and Agricultural Standardization, China National Institute of Standardization"}]},{"given":"Bolin","family":"SHI","sequence":"additional","affiliation":[{"name":"Institute of Food and Agricultural Standardization, China National Institute of Standardization"}]},{"given":"Yi","family":"JIN","sequence":"additional","affiliation":[{"name":"School of Computer & Information Technology, Beijing Jiaotong University"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] S. Kong, J. Heo, B. Abidi, J. Paik, and M. Abidi, \u201cRecent advances in visual and infrared face recognition-A review,\u201d Comput. Vis. Image Understand., vol.97, pp.103-155, 2005.","DOI":"10.1016\/j.cviu.2004.04.001"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] B. Fasel and J. Luettin, \u201cAutomatic facial expression: A survey,\u201d Pattern Recognit., vol.36, pp.259-275, 2003.","DOI":"10.1016\/S0031-3203(02)00052-3"},{"key":"3","unstructured":"[3] M. Liang, M. Sun, K.M. Carter, A.O. Hero III, and S. Savarese, \u201cUnsupervised object pose classification from short video sequences,\u201d British Machine Vision Conference (BMVC), Sept. 2009."},{"key":"4","unstructured":"[4] P.Y. Simard, Y.A. LeCun, J.S. Denker, and B. Victorri, \u201cTransformation invariance in pattern recognition-Tangent distance and tangent propagation,\u201d Lect. Notes Comput. Sci., vol.1524, pp.549-550, 1998."},{"key":"5","unstructured":"[5] R. Rao and D. Rudeman, \u201cLearning lie groups for invariant visual perception,\u201d Advances in Neural Information Processing Systems (NIPS), 1998."},{"key":"6","unstructured":"[6] J. Winn, A. Criminist, and T. Minka, \u201cObject categorization by learned universal visual dictionary,\u201d Proc. IEEE International Conference on Computer Vision (ICCV), vol.2, pp.1800-1807, 2005."},{"key":"7","unstructured":"[7] D. Donoho, \u201cHigh-dimensional data analysis: The curses and blessings of dimensionality,\u201d AMS Math Challenges Lecture, 2000."},{"key":"8","unstructured":"[8] W.S. Yambor, \u201cAnalysis of PCA-based and Fisher Discriminant-based Image Recognition Algorithms,\u201d Computer Science Technical Report, July 2000."},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, \u201cEigenfaces vs. Fisherfaces: Recognition using class specific linear projection,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.19, pp.711-720, 1997.","DOI":"10.1109\/34.598228"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] X. He, S. Yan, Y. Hu, P. Niyogi, and H. Zhang, \u201cFace recognition using Laplacianfaces,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.27, pp.328-340, 2006.","DOI":"10.1109\/TPAMI.2005.55"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] J.C. Isaacs, S.Y. Foo, and A.M. Baese, \u201cNovel kernels and kernel PCA for pattern recognition,\u201d International Symposium on Computational Intelligence in Robotics and Automation, Jacksonville, 2007.","DOI":"10.1109\/CIRA.2007.382927"},{"key":"12","unstructured":"[12] C. Shan, S. Gong, and P.W. McOwan, \u201cA comprehensive empirical study on linear subspace methods for facial expression analysis,\u201d Proc. Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2006."},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] F. Wang, J. Wang, C. Zhang, and J. Kwok, \u201cFace recognition using spectral features,\u201d Pattern Recognit., vol.40, pp.2786-2797, 2007.","DOI":"10.1016\/j.patcog.2007.01.023"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] J. Yang, D. Zhang, A.F. Frangi, and J. Yang, \u201cTwo-dimensional PCA: A new approach to appearance-based face representation and recognition,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.26, pp.151-157, 2004.","DOI":"10.1109\/TPAMI.2004.1261097"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] L. Wang, X. Wang, and J. Feng, \u201cOn image matrix based feature extraction algorithms,\u201d IEEE Trans. Syst., Man Cybern., B, vol.36, pp.195-197, 2006.","DOI":"10.1109\/TSMCB.2005.852471"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] D. Hu, G. Feng, and Z. Zhou, \u201cTwo-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition,\u201d Pattern Recognit., vol.40, pp.339-342, 2007.","DOI":"10.1016\/j.patcog.2006.06.022"},{"key":"17","unstructured":"[17] X. He and P. Niyogi, \u201cLocality preserving projections,\u201d in Advances in Neural Information Processing Systems, MIT Press, Cambridge, 2003."},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] R. Zhi and Q. Ruan, \u201cFacial expression recognition based on two-dimensional discriminant localiry preserving projections,\u201d Neurocomputing, vol.71, pp.1730-1734, 2008.","DOI":"10.1016\/j.neucom.2007.12.002"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] S. Chen, H. Zhao, M. Kong, and B. Luo, \u201c2D-LPP: A two-dimensional extension of locality preserving projections,\u201d Neurocomputing, vol.70, pp.912-921, 2007.","DOI":"10.1016\/j.neucom.2006.10.032"},{"key":"20","unstructured":"[20] D. Cai, X. He, and J. Han, \u201cUsing Graph Model for Face Analysis,\u201d Technical Report, Department of Computer Science, University of Illinois at Urbana-Champaign, 2005."},{"key":"21","unstructured":"[21] D. Cai, X. He, and J. Han, \u201cSpectral regression for dimensionality reduction,\u201d Technical Report, Department of Computer Science, University of Illinois at Urbana-Champaign, 2007."},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] D. Cai, X. He, and J. Han, \u201cSpectral regression: A unified subspace learning framework for content-based image retrieval,\u201d ACM Multimedia, Augsburg, Germany, 2007.","DOI":"10.1145\/1291233.1291329"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] Y. Xu, G. Feng, and Y. Zhao, \u201cOne improvement to two-dimensional locality preserving projection method for use with face recognition,\u201d Neurocomputing, vol.73, pp.245-259, 2009.","DOI":"10.1016\/j.neucom.2009.09.010"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] M. Keller, M.R. Gray, and J.A. Givens, \u201cA fuzzy k-nearest neighbor algorithm,\u201d IEEE Trans. Syst. Man Cybern., vol.15, pp.580-585, 1985.","DOI":"10.1109\/TSMC.1985.6313426"},{"key":"25","unstructured":"[25] R. Zhi, Q. Ruan, and J. Wu, \u201cDual two-dimensional fuzzy class preserving projection for facial expression recognition,\u201d IEICE Trans. Inf. & Syst., vol.E91-D, no.12, pp.2880-2883, Dec. 2008."},{"key":"26","unstructured":"[26] http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] S.T. Roweis and L.K. Saul, \u201cNonlinear dimensionality reduction by locally linear embedding,\u201d Science, vol.290, pp.2323-2326, 2000.","DOI":"10.1126\/science.290.5500.2323"},{"key":"28","unstructured":"[28] T. Kanade, J. Cohn, and Y. Tian, \u201cComprehensive database for facial expression analysis,\u201d Proc. International Conference on Automatic Face and Gesture Recognition (FGR), Grenoble, France, 2000."},{"key":"29","unstructured":"[29] M. Lyons, S. Akamatsu, M. Kamachi, and J. Gyoba, \u201cCoding facial expressions with Gabor wavelets,\u201d Proc. Third IEEE Conference on Face and Gesture Recognition, Nara, Japan, 1998."},{"key":"30","unstructured":"[30] Z. Zhang, M.J. Schuster, and S. Akamatsu, \u201cCompparison between geometry-based and Gabor-wavelet based facial expression recognition using multi-layer perception,\u201d Proc. IEEE 3rd International Conference on AFGR, 1998."},{"key":"31","unstructured":"[31] F. Samaria and A. Harter, \u201cParameterisation of a stockastic modell for human face identification,\u201d Second IEEE Workshop on Applications of Computer Vision, 1994."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/9\/E97.D_2013EDP7422\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T06:10:09Z","timestamp":1619417409000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/9\/E97.D_2013EDP7422\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":31,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2013edp7422","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}