iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1007/S10851-015-0629-1
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T13:51:14Z","timestamp":1723816274048},"reference-count":77,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,2,4]],"date-time":"2016-02-04T00:00:00Z","timestamp":1454544000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Math Imaging Vis"],"published-print":{"date-parts":[[2016,9]]},"DOI":"10.1007\/s10851-015-0629-1","type":"journal-article","created":{"date-parts":[[2016,2,4]],"date-time":"2016-02-04T06:45:10Z","timestamp":1454568310000},"page":"1-31","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Dimension Reduction and Construction of Feature Space for Image Pattern Recognition"],"prefix":"10.1007","volume":"56","author":[{"given":"Hayato","family":"Itoh","sequence":"first","affiliation":[]},{"given":"Atsushi","family":"Imiya","sequence":"additional","affiliation":[]},{"given":"Tomoya","family":"Sakai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,2,4]]},"reference":[{"issue":"1","key":"629_CR1","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1162\/jocn.1991.3.1.71","volume":"3","author":"M Turk","year":"1991","unstructured":"Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cogn. Neurosci. 3(1), 71\u201386 (1991)","journal-title":"J. Cogn. Neurosci."},{"key":"629_CR2","series-title":"Computer Vision","first-page":"135","volume-title":"From the Subspace Methods to the Mutual Subspace Method","author":"K Maeda","year":"2010","unstructured":"Maeda, K.: From the Subspace Methods to the Mutual Subspace Method. Computer Vision, vol. 285, pp. 135\u2013156. Springer, Berlin (2010)"},{"key":"629_CR3","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1109\/34.387485","volume":"16","author":"H Murase","year":"1994","unstructured":"Murase, H., Nayar, S.K.: Illumination planning for object recognition using parametric eigenspace. IEEE Trans. Pattern Anal. Mach. Intell. 16, 1219\u20131227 (1994)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR4","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1016\/j.patcog.2004.08.013","volume":"38","author":"CH Park","year":"2005","unstructured":"Park, C.H., Park, H.: Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognit. 38, 495\u2013503 (2005)","journal-title":"Pattern Recognit."},{"key":"629_CR5","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.1016\/j.patrec.2007.05.017","volume":"28","author":"HA Park","year":"2007","unstructured":"Park, H.A., Park, K.R.: Iris recognition based on score level fusion by using SVM. Pattern Recognit. Lett. 28, 2019\u20132028 (2007)","journal-title":"Pattern Recognit. Lett."},{"key":"629_CR6","unstructured":"Csurka, G., Dance, C., Fan, L., Willamowski, J., Bray, C.: Visual categorization with bags of keypoints. In: Proceedings of the ECCV Workshop on Statistical Learning in Computer Vision, pp. 1\u201322 (2004)"},{"key":"629_CR7","unstructured":"Van der Maaten, L.J. P., Postma, E.O., Vanden Herik, H.J.: Dimensionality Reduction: A Comparative Review. Technical report, Tilburg University (2009)"},{"key":"629_CR8","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1109\/TCOM.1983.1095851","volume":"31","author":"PJ Burt","year":"1983","unstructured":"Burt, P.J., Adelson, E.H.: The Laplacian pyramid as a compact image code. IEEE Trans. Commun. 31, 532\u2013540 (1983)","journal-title":"IEEE Trans. Commun."},{"key":"629_CR9","doi-asserted-by":"crossref","unstructured":"Karlsson, A.: Nonexpanding maps, Busemann functions, and multiplicative ergodic theory. In: Rigidity in Dynamics and Geometry, pp. 283\u2013294. Springer (2002)","DOI":"10.1007\/978-3-662-04743-9_14"},{"key":"629_CR10","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1016\/S0167-8655(01)00002-2","volume":"22","author":"G Borgefors","year":"2001","unstructured":"Borgefors, G., Ramella, G., di Baja, G.S.: Shape and topology preserving multi-valued image pyramids for multi-resolution skeletonization. Pattern Recognit. Lett. 22, 741\u2013751 (2001)","journal-title":"Pattern Recognit. Lett."},{"key":"629_CR11","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.patrec.2004.10.026","volume":"26","author":"WG Kropatsch","year":"2005","unstructured":"Kropatsch, W.G., Haxhimusa, Y., Pizlo, Z., Langs, G.: Vision pyramids that do not grow too high. Pattern Recognit. Lett. 26, 319\u2013337 (2005)","journal-title":"Pattern Recognit. Lett."},{"key":"629_CR12","doi-asserted-by":"crossref","first-page":"1540","DOI":"10.1016\/j.patcog.2011.01.004","volume":"44","author":"H Lu","year":"2011","unstructured":"Lu, H., Plataniotis, K.N., Venetsanopoulos, A.N.: A survey of multilinear subspace learning for tensor data. Pattern Recognit. 44, 1540\u20131551 (2011)","journal-title":"Pattern Recognit."},{"key":"629_CR13","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/TPAMI.2004.1261097","volume":"26","author":"J Yang","year":"2004","unstructured":"Yang, J., Zhang, D., Frangi, A.F., Yang, J.-Y.: Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26, 131\u2013137 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR14","unstructured":"Otsu, N.: Mathematical Studies on Feature Extraction in Pattern Recognition. PhD thesis, Electrotechnical Laboratory (1981)"},{"key":"629_CR15","first-page":"13","volume":"4","author":"SO Aase","year":"1999","unstructured":"Aase, S.O., Husoy, J.H., Waldemar, P.: A critique of SVD-based image coding systems. Proc. IEEE Int. Symp. Circuits Syst. 4, 13\u201316 (1999)","journal-title":"Proc. IEEE Int. Symp. Circuits Syst."},{"key":"629_CR16","doi-asserted-by":"crossref","unstructured":"Ding, C., Ye, J.: Two-dimensional singular value decomposition (2DSVD) for 2D maps and images. In: Proceedings of the SIAM International Conference on Data Mining, pp. 32\u201343 (2005)","DOI":"10.1137\/1.9781611972757.4"},{"key":"629_CR17","doi-asserted-by":"crossref","unstructured":"Ye, J., Janardan, R., Qi, L.: GPCA: An efficient dimension reduction scheme for image compression and retrieval. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 354\u2013363 (2004)","DOI":"10.1145\/1014052.1014092"},{"key":"629_CR18","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1137\/S0036141092229732","volume":"15","author":"JB Moore","year":"1994","unstructured":"Moore, J.B., Mahony, R.E., Helmke, U.: Numerical gradient algorithms for eigenvalue and singular value calculations. SIAM J. Matrix Anal. Appl. 15, 881\u2013902 (1994)","journal-title":"SIAM J. Matrix Anal. Appl."},{"issue":"1","key":"629_CR19","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TNN.2007.901277","volume":"19","author":"H Lu","year":"2008","unstructured":"Lu, H., Plataniotis, K.N., Venetsanopoulos, A.N.: MPCA: Multilinear principal component analysis of tensor objects. IEEE Trans. Neural Netw. 19(1), 18\u201339 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"4","key":"629_CR20","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1137\/S0895479896305696","volume":"21","author":"LD Lathauwer","year":"2000","unstructured":"Lathauwer, L.D., Moor, BDe, Vandewalle, J.: A multilinear singular value decomposition. SIAM J. Matrix Anal. Appl. 21(4), 1253\u20131278 (2000)","journal-title":"SIAM J. Matrix Anal. Appl."},{"key":"629_CR21","unstructured":"Wang, H., Ahuja, N.: Compact representation of multidimensional data using tensor randk-one decomposition. In: Proceedings of the International Conference on Pattern Recognition, vol. 1, pp. 44\u201347 (2004)"},{"issue":"11","key":"629_CR22","doi-asserted-by":"crossref","first-page":"1820","DOI":"10.1109\/TNN.2009.2031144","volume":"20","author":"H Lu","year":"2009","unstructured":"Lu, H., Plataniotis, K.N., Venetsanopoulos, A.N.: Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning. IEEE Trans. Neural Netw. 20(11), 1820\u20131836 (2009)","journal-title":"IEEE Trans. Neural Netw."},{"key":"629_CR23","unstructured":"Allen, G.I.: Sparse higher-order principal components analysis. In: Proceedings of the International Conference on Artificial Intelligence and Statistics, pp. 27\u201336 (2012)"},{"key":"629_CR24","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1090\/conm\/026\/737400","volume":"26","author":"W Johnson","year":"1984","unstructured":"Johnson, W., Lindenstrauss, J.: Extensions of Lipschitz maps into a Hilbert space. Contemp. Math. 26, 189\u2013206 (1984)","journal-title":"Contemp. Math."},{"key":"629_CR25","unstructured":"Arya, S., Mount, D.M., Netanyahu, N.S., Silverman, R., Wu, A.Y.: An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. In: Proceedings of the ACM-SIAM Symposium on Discrete Algorithms, pp. 573\u2013582 (1994)"},{"issue":"2","key":"629_CR26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1145\/1219092.1219097","volume":"54","author":"D Achlioptas","year":"2007","unstructured":"Achlioptas, D., McSherry, F.: Fast computation of low-rank matrix approximations. J. ACM 54(2), 9 (2007)","journal-title":"J. ACM"},{"key":"629_CR27","doi-asserted-by":"crossref","unstructured":"Sakai, T., Imiya, A.: Practical algorithms of spectral clustering: toward large-scale vision-based motion analysis. In: Machine Learning for Vision-Based Motion Analysis, pp. 3\u201326. Springer (2011)","DOI":"10.1007\/978-0-85729-057-1_1"},{"key":"629_CR28","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10208-007-9011-z","volume":"9","author":"RG Baraniuk","year":"2009","unstructured":"Baraniuk, R.G., Wakin, M.B.: Random projections of smooth manifolds. Found. Comput. Math. 9, 51\u201377 (2009)","journal-title":"Found. Comput. Math."},{"key":"629_CR29","doi-asserted-by":"crossref","unstructured":"Bingham, E., Mannila, H.: Random projection in dimensionality reduction: Applications to image and text data. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining, pp. 245\u2013250 (2001)","DOI":"10.1145\/502512.502546"},{"key":"629_CR30","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1016\/S0022-0000(03)00025-4","volume":"66","author":"D Achlioptas","year":"2003","unstructured":"Achlioptas, D.: Database-friendly random projections: Johnson\u2013Lindenstrauss with binary coins. J. Comput. Syst. Sci. 66, 671\u2013687 (2003)","journal-title":"J. Comput. Syst. Sci."},{"key":"629_CR31","unstructured":"Watanabe, T., Takimoto, E., Amano, K., Maruoka, A.: Random projection and its application to learning. In: Proceedings of the Workshop on Randomness and Computation, pp. 3\u20134 (2005)"},{"key":"629_CR32","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1002\/rsa.20218","volume":"33","author":"J Matousek","year":"2008","unstructured":"Matousek, J.: On variants of the Johnson\u2013Lindenstrauss lemma. Random Struct. Algorithms 33, 142\u2013156 (2008)","journal-title":"Random Struct. Algorithms"},{"key":"629_CR33","doi-asserted-by":"crossref","first-page":"21:1","DOI":"10.1145\/2483699.2483701","volume":"9","author":"N Ailon","year":"2013","unstructured":"Ailon, N., Liberty, E.: Almost optimal unrestricted fast Johnson\u2013Lindenstrauss transform. ACM Trans. Algorithms 9, 21:1\u2013211:2 (2013)","journal-title":"ACM Trans. Algorithms"},{"key":"629_CR34","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1162\/089976698300017467","volume":"10","author":"B Sch\u00f6lkopf","year":"1998","unstructured":"Sch\u00f6lkopf, B., Smola, A., M\u00fcller, K.-R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput. 10, 1299\u20131319 (1998)","journal-title":"Neural Comput."},{"key":"629_CR35","volume-title":"Modern Multidimensional Scaling: Theory and Applications","author":"I Borg","year":"2005","unstructured":"Borg, I., Groenen, P.: Modern Multidimensional Scaling: Theory and Applications, 2nd edn. Springer, New York (2005)","edition":"2"},{"key":"629_CR36","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1023\/A:1012485807823","volume":"46","author":"CKI Williams","year":"2002","unstructured":"Williams, C.K.I.: On a connection between kernel PCA and metric multidimensional scaling. Mach. Learn. 46, 11\u201319 (2002)","journal-title":"Mach. Learn."},{"key":"629_CR37","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"JB Tenenbaum","year":"2000","unstructured":"Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319\u20132323 (2000)","journal-title":"Science"},{"key":"629_CR38","doi-asserted-by":"crossref","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, 2323\u20132326 (2000)","journal-title":"Science"},{"key":"629_CR39","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1016\/j.neunet.2006.05.014","volume":"19","author":"J Venna","year":"2006","unstructured":"Venna, J., Kaski, S.: Local multidimensional scaling. Neural Netw. 19, 889\u2013899 (2006)","journal-title":"Neural Netw."},{"key":"629_CR40","doi-asserted-by":"crossref","first-page":"1945","DOI":"10.1109\/TPAMI.2005.244","volume":"27","author":"R Vidal","year":"2005","unstructured":"Vidal, R., Yi, M., Sastry, S.: Generalized principal component analysis (GPCA). IEEE Trans. Pattern Anal. Mach. Intell. 27, 1945\u20131959 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR41","doi-asserted-by":"crossref","unstructured":"Goh, A., Vidal, R.: Clustering and dimensionality reduction on Riemannian manifolds. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20137 (2008)","DOI":"10.1109\/CVPR.2008.4587422"},{"key":"629_CR42","first-page":"17","volume":"8690","author":"MT Harandi","year":"2014","unstructured":"Harandi, M.T., Salzmann, M., Hartley, R.: From manifold to manifold: geometry-aware dimensionality reduction for PD matrices. Proc. Eur. Conf. Comput. Vis. 8690, 17\u201332 (2014)","journal-title":"Proc. Eur. Conf. Comput. Vis."},{"key":"629_CR43","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"RA Fisher","year":"1936","unstructured":"Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugen. 7, 179\u2013188 (1936)","journal-title":"Ann. Eugen."},{"key":"629_CR44","first-page":"774","volume":"24","author":"V Vapnik","year":"1963","unstructured":"Vapnik, V., Lerner, A.: Pattern recognition using generalized portrait method. Autom. Remote Control 24, 774\u2013780 (1963)","journal-title":"Autom. Remote Control"},{"key":"629_CR45","unstructured":"Iijima, T.: Theory of pattern recognition. Electronics and Communications in Japan, pp. 123\u2013134 (1963)"},{"key":"629_CR46","unstructured":"Watanabe, S.: Karhunen\u2013Loeve expansion and factor analysis. In: Proceedings of the Transactions of the Fourth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, pp. 635\u2013660 (1967)"},{"key":"629_CR47","doi-asserted-by":"crossref","unstructured":"Itoh, H., Sakai, T., Kawamoto, K., Imiya, A.: Topology-preserving dimension-reduction methods for image pattern recognition. In: Proceedings of the Scandinavian Conference on Image Analysis, pp. 195\u2013204 (2013)","DOI":"10.1007\/978-3-642-38886-6_19"},{"key":"629_CR48","doi-asserted-by":"crossref","unstructured":"Fukui, K., Maki, A.: Difference subspace and its generalization for subspace-based methods. IEEE Trans. Pattern Anal. Mach. Intell., pp. 1\u20131, In print (2015)","DOI":"10.1109\/TPAMI.2015.2408358"},{"key":"629_CR49","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/S0167-6911(02)00135-4","volume":"46","author":"KD Cock","year":"2002","unstructured":"Cock, K.D., Moor, B.D.: Subspace angles between ARMA models. Syst. Control Lett. 46, 265\u2013270 (2002)","journal-title":"Syst. Control Lett."},{"key":"629_CR50","doi-asserted-by":"crossref","unstructured":"Hamm, J., Lee, D. D.: Grassmann discriminant analysis: a unifying view on subspace-based learning. In: Proceedings of the International Conference on Machine Learning, pp. 376\u2013383 (2008)","DOI":"10.1145\/1390156.1390204"},{"key":"629_CR51","doi-asserted-by":"crossref","unstructured":"Boser, E., Guyon, I., Vapnik, V.: A training algorithm for optimal margin classifiers. In: Proceedings of the Workshop on Computational Learning Theory, pp. 144\u2013152 (1992)","DOI":"10.1145\/130385.130401"},{"issue":"3","key":"629_CR52","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"629_CR53","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"C-W Hsu","year":"2002","unstructured":"Hsu, C.-W., Lin, C.-J.: A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Netw. 13, 415\u2013425 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"key":"629_CR54","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1109\/TPAMI.2008.111","volume":"31","author":"J Sivic","year":"2009","unstructured":"Sivic, J., Zisserman, A.: Efficient visual search of videos cast as text retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 31, 591\u2013606 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR55","doi-asserted-by":"crossref","first-page":"1704","DOI":"10.1109\/TPAMI.2011.235","volume":"34","author":"H J\u00e9gou","year":"2012","unstructured":"J\u00e9gou, H., Perronnin, F., Douze, M., Sanchez, J., Perez, P., Schmid, C.: Aggregating local image descriptors into compact codes. IEEE Trans. Pattern Anal. Mach. Intell. 34, 1704\u20131716 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR56","volume-title":"The Random Projection Method","author":"SS Vempala","year":"2004","unstructured":"Vempala, S.S.: The Random Projection Method. American Mathematical Society, Providence (2004)"},{"key":"629_CR57","first-page":"239","volume":"2483","author":"A Magen","year":"2002","unstructured":"Magen, A.: Dimensionality reductions that preserve volumes and distance to affine spaces, and their algorithmic applications. Proc. Randomization and Approximation Techniques in Computer. Science 2483, 239\u2013253 (2002)","journal-title":"Science"},{"key":"629_CR58","doi-asserted-by":"crossref","unstructured":"Agarwal, P. K., Har-Peled, S., Yu, H.: Embeddings of surfaces, curves, and moving points in Euclidean space. In: Proceedings of the Annual Symposium on Computational Geometry, pp. 381\u2013389 (2007)","DOI":"10.1145\/1247069.1247135"},{"key":"629_CR59","unstructured":"Dasgupta, S., Gupta, A.: An elementary proof of the Johnson\u2013Lindenstrauss lemma. Technical report, UC Berkeley (1996)"},{"key":"629_CR60","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/0024-3795(92)90180-I","volume":"169","author":"U Helmke","year":"1992","unstructured":"Helmke, U., Moore, J.B.: Singular-value decomposition via gradient and self-equivalent flows. Linear Algebra Appl. 169, 223\u2013248 (1992)","journal-title":"Linear Algebra Appl."},{"key":"629_CR61","doi-asserted-by":"crossref","first-page":"2213","DOI":"10.1016\/j.patcog.2005.04.012","volume":"38","author":"Z Liang","year":"2005","unstructured":"Liang, Z., Shi, P.: An analytical algorithm for generalized low-rank approximations of matrices. Pattern Recognit. 38, 2213\u20132216 (2005)","journal-title":"Pattern Recognit."},{"key":"629_CR62","doi-asserted-by":"crossref","unstructured":"Itoh, H., Sakai, T., Kawamoto, K., Imiya, A.: Dimension reduction methods for image pattern recognition. In: Proceedings of the International Workshop on Similarity-Based, Pattern Recognition, pp. 26\u201342 (2013)","DOI":"10.1007\/978-3-642-39140-8_2"},{"key":"629_CR63","doi-asserted-by":"crossref","first-page":"579","DOI":"10.2307\/2005662","volume":"27","author":"\u00c5 Bj\u00f6rck","year":"1975","unstructured":"Bj\u00f6rck, \u00c5., Golub, G\u00a0.H.: Numerical methods for computing angles between linear subspaces. Math. Comput. 27, 579\u2013594 (1975)","journal-title":"Math. Comput."},{"key":"629_CR64","volume-title":"Matrix Computations","author":"GH Golub","year":"1996","unstructured":"Golub, G.H., Van Loan, C.F.: Matrix Computations. The Johns Hopkins University Press, Baltimore (1996)"},{"key":"629_CR65","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1109\/34.927464","volume":"23","author":"AS Georghiades","year":"2001","unstructured":"Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J.: From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. 23, 643\u2013660 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR66","doi-asserted-by":"crossref","unstructured":"Samaria, F., Harter, A.: Parameterisation of a stochastic model for human face identification. In: Proceedings of the IEEE Workshop on Applications of Computer Vision (1994)","DOI":"10.1109\/ACV.1994.341300"},{"key":"629_CR67","doi-asserted-by":"crossref","unstructured":"Leibe, B., Schiele, B.: Analyzing appearance and contour based methods for object categorization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition vol. 2, pp. 409\u2013415 (2003)","DOI":"10.1109\/CVPR.2003.1211497"},{"key":"629_CR68","doi-asserted-by":"crossref","unstructured":"Mobahi, H., Collobert, R., Weston, J.: Deep learning from temporal coherence in video. In: Proceedings of the International Conference on Machine Learning (2009)","DOI":"10.1145\/1553374.1553469"},{"key":"629_CR69","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86, 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"629_CR70","first-page":"757","volume":"J68\u2013D","author":"T Saito","year":"1985","unstructured":"Saito, T., Yamada, H., Yamada, K.: On the data base ETL9 of handprinted characters in JIS Chinese characters and its analysis. IEICE Trans. J68\u2013D, 757\u2013764 (1985)","journal-title":"IEICE Trans."},{"key":"629_CR71","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","volume":"106","author":"L Fei-Fei","year":"2007","unstructured":"Fei-Fei, L., Fergus, R., Perona, P.: Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. Comput. Vis. Image Underst. 106, 59\u201370 (2007)","journal-title":"Comput. Vis. Image Underst."},{"key":"629_CR72","unstructured":"Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results. http:\/\/www.pascal-network.org\/challenges\/VOC\/voc2010\/workshop\/index . html"},{"key":"629_CR73","doi-asserted-by":"crossref","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. 31, 210\u2013227 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR74","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1109\/TPAMI.2007.1037","volume":"29","author":"T-K Kim","year":"2007","unstructured":"Kim, T.-K., Kittler, J., Cipolla, R.: Discriminative learning and recognition of image set classes using canonical correlations. IEEE Trans. Pattern Anal. Mach. Intell. 29, 1005\u20131018 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"629_CR75","unstructured":"Liu, H., Ding, X.: Handwritten character recognition using gradient feature and quadratic classifier with multiple discrimination schemes. In: Proceedings of the International Conference on Document Analysis and Recognition, pp. 19\u201323 (2005)"},{"key":"629_CR76","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, Z., Ren, S., Jian, S.: Spatial pyramid pooling in deep convolutional networks for visual recognition. In: Proceedings of the European Conference on Computer Vision, pp. 346\u2013361 (2014)","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"629_CR77","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","volume":"111","author":"M Everingham","year":"2015","unstructured":"Everingham, M., Eslami, S.M.A., Gool, L.V., Williams, C.K.I., Winn, J., Zisserman, A.: The Pascal Visual Object Classes challenge: a retrospective. Int. J. Comput. Vis. 111, 98\u2013136 (2015)","journal-title":"Int. J. Comput. Vis."}],"container-title":["Journal of Mathematical Imaging and Vision"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10851-015-0629-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10851-015-0629-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10851-015-0629-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,4]],"date-time":"2019-09-04T04:05:07Z","timestamp":1567569907000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10851-015-0629-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,4]]},"references-count":77,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,9]]}},"alternative-id":["629"],"URL":"http:\/\/dx.doi.org\/10.1007\/s10851-015-0629-1","relation":{},"ISSN":["0924-9907","1573-7683"],"issn-type":[{"value":"0924-9907","type":"print"},{"value":"1573-7683","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,4]]}}}