{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,13]],"date-time":"2025-04-13T01:40:03Z","timestamp":1744508403518,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":28,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642335631"},{"type":"electronic","value":"9783642335648"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33564-8_56","type":"book-chapter","created":{"date-parts":[[2012,10,17]],"date-time":"2012-10-17T15:22:27Z","timestamp":1350487347000},"page":"465-474","source":"Crossref","is-referenced-by-count":6,"title":["Stability of Dimensionality Reduction Methods Applied on Artificial Hyperspectral Images"],"prefix":"10.1007","author":[{"given":"Jihan","family":"Khoder","sequence":"first","affiliation":[]},{"given":"Rafic","family":"Younes","sequence":"additional","affiliation":[]},{"given":"Fethi Ben","family":"Ouezdou","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"volume-title":"Techniques and Applications of Hyperspectral Image Analysis","year":"2007","key":"56_CR1","unstructured":"Grahn, H., Geladi, P. (eds.): Techniques and Applications of Hyperspectral Image Analysis. Wiley, Chichester (2007)"},{"key":"56_CR2","doi-asserted-by":"crossref","unstructured":"Richards, J.A.: Remote Sensing Digital Image Analysis: An Introduction, 2nd edn. Springer (1993)","DOI":"10.1007\/978-3-642-88087-2"},{"issue":"9","key":"56_CR3","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1016\/j.patrec.2012.02.007","volume":"33","author":"Gao","year":"2012","unstructured":"Gao, Shi, Q., Caetano, T.S.: Dimensionality reduction via compressive sensing. Pattern Recognition Letters\u00a033(9), 1163\u20131170 (2012)","journal-title":"Pattern Recognition Letters"},{"key":"56_CR4","volume-title":"Introduction to Statistical Pattern Recognition","author":"K. Fukunaga","year":"1990","unstructured":"Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press Professional, Inc., San Diego (1990)"},{"issue":"16","key":"56_CR5","doi-asserted-by":"publisher","first-page":"2171","DOI":"10.1016\/j.patrec.2011.05.011","volume":"32","author":"A. \u00c1lvarez-Meza","year":"2011","unstructured":"\u00c1lvarez-Meza, A., Valencia-Aguirre, J., Daza-Santacoloma, G., Castellanos-Dom\u00ednguez, G.: Global and local choice of the number of nearest neighbors in locally linear embedding. Pattern Recognition Letters\u00a032(16), 2171\u20132177 (2011)","journal-title":"Pattern Recognition Letters"},{"issue":"5","key":"56_CR6","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1016\/j.patcog.2008.08.024","volume":"42","author":"Y. Pan","year":"2009","unstructured":"Pan, Y., Ge, S.S., Mamun, A.A.: Weighted locally linear embedding for dimension reduction. Pattern Recognition\u00a042(5), 798\u2013811 (2009)","journal-title":"Pattern Recognition"},{"key":"56_CR7","series-title":"CBMS-NSF Regional Conference series in applied mathematics","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970128","volume-title":"Spline models for observational data","author":"G. Wahba","year":"1990","unstructured":"Wahba, G.: Spline models for observational data. CBMS-NSF Regional Conference series in applied mathematics. Society for Industrial and Applied Mathematics, Philadelphia (1990)"},{"key":"56_CR8","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1162\/089976698300017467","volume":"10","author":"B. Scholkopf","year":"1998","unstructured":"Scholkopf, B., Smola, A., Muller, K.R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation\u00a010, 1299\u20131319 (1998)","journal-title":"Neural Computation"},{"issue":"9","key":"56_CR9","first-page":"2054","volume":"42","author":"Y.. Jiao","year":"2006","unstructured":"Jiao, Y., Wu, Y., Hou, C., Zhang, C.: Stable local dimensionality reduction approaches. Pattern Recognition\u00a042(9), 2054\u20132066 (2006)","journal-title":"Pattern Recognition"},{"issue":"3","key":"56_CR10","doi-asserted-by":"publisher","first-page":"119","DOI":"10.3923\/jai.2010.119.134","volume":"3","author":"F.S. Tsai","year":"2010","unstructured":"Tsai, F.S.: Comparative Study of Dimensionality Reduction Techniques for Data Visualization. Journal of Artificial Intelligence\u00a03(3), 119\u2013134 (2010)","journal-title":"Journal of Artificial Intelligence"},{"key":"56_CR11","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1109\/TSMCB.2005.850151","volume":"35","author":"X. Geng","year":"2005","unstructured":"Geng, X., Zhan, D.C., Zhou, Z.H.: Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Trans. Syst. Man Cybernetics Part B\u00a035, 1098\u20131107 (2005)","journal-title":"IEEE Trans. Syst. Man Cybernetics Part B"},{"key":"56_CR12","unstructured":"Tsai, F.S., Chan, K.L.: A manifold visualization metric for dimensionality reduction. Nanyang Technological University Technical Report (2009)"},{"key":"56_CR13","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1037\/h0071325","volume":"24","author":"H. Hotelling","year":"1933","unstructured":"Hotelling, H.: Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology\u00a024, 417\u2013441 (1933)","journal-title":"Journal of Educational Psychology"},{"key":"56_CR14","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1080\/14786440109462720","volume":"2","author":"K. Pearson","year":"1901","unstructured":"Pearson, K.: On lines and planes of closest fit to systems of points in space. Philiosophical Magazine\u00a02, 559\u2013572 (1901)","journal-title":"Philiosophical Magazine"},{"issue":"12","key":"56_CR15","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1109\/34.735807","volume":"20","author":"C.K.I. Williams","year":"1998","unstructured":"Williams, C.K.I., Cand, D.: Barber. Bayesian classification with processes. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a020(12), 1342\u20131351 (1998)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"56_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The nature of statistical learning theory. Springer, New York (1995)"},{"issue":"1","key":"56_CR17","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1137\/S1064827502419154","volume":"26","author":"Z. Zhang","year":"2004","unstructured":"Zhang, Z., Zha, H.: Principal manifolds and nonlinear dimensionality reduction via local tangent space alignment. SIAM Journal of Scientific Computing\u00a026(1), 313\u2013338 (2004)","journal-title":"SIAM Journal of Scientific Computing"},{"key":"56_CR18","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.acha.2005.07.004","volume":"21","author":"B. Nadler","year":"2006","unstructured":"Nadler, B., Lafon, B., Coifman, R.R., Kevrekidis, I.G.: Diffusion maps, spectral clustering and the reaction coordinate of dynamical systems. Applied and Computational Harmonic Analysis: Special Issue on Diffusion Maps and Wavelets\u00a021, 113\u2013127 (2006)","journal-title":"Applied and Computational Harmonic Analysis: Special Issue on Diffusion Maps and Wavelets"},{"issue":"8","key":"56_CR19","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1016\/S0167-8655(98)00049-X","volume":"19","author":"S. Backer De","year":"1998","unstructured":"De Backer, S., Naud, A., Scheunders, P.: Non-linear dimensionality reduction techniques for unsupervised feature extraction. Original Research Article Pattern Recognition Letters\u00a019(8), 711\u2013720 (1998)","journal-title":"Original Research Article Pattern Recognition Letters"},{"key":"56_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-39351-3","volume-title":"Nonlinear dimensionality reduction","author":"J.A. Lee","year":"2007","unstructured":"Lee, J.A., Verleysen, M.: Nonlinear dimensionality reduction. Springer, New York (2007)"},{"key":"56_CR21","doi-asserted-by":"publisher","first-page":"5591","DOI":"10.1073\/pnas.1031596100","volume":"100","author":"D.L. Donoho","year":"2003","unstructured":"Donoho, D.L., Grimes, C.: Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data. PNAS\u00a0100, 5591\u20135596 (2003)","journal-title":"PNAS"},{"key":"56_CR22","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1162\/089976603321780317","volume":"15","author":"M. Belkin","year":"2003","unstructured":"Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput.\u00a015, 1373\u20131396 (2003)","journal-title":"Neural Comput."},{"key":"56_CR23","unstructured":"vanderMaaten, L.J.P.: An introduction to dimensionality reduction using Matlab. Technical Report 07-06, MICC-IKAT, Maastricht University, Maastricht, The Netherlands (2007)"},{"issue":"4","key":"56_CR24","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1109\/LGRS.2006.878240","volume":"3","author":"S.R. Baofeng","year":"2006","unstructured":"Baofeng, S.R., Gunn, G., Damper, R.I., Nelson, J.D.B.: Band Selection for Hyperspectral Image Classification Using Mutual Information. IEEE Geoscience and Remote Controle Sensing Letters\u00a03(4), 522\u2013526 (2006)","journal-title":"IEEE Geoscience and Remote Controle Sensing Letters"},{"key":"56_CR25","doi-asserted-by":"crossref","unstructured":"Eskicioglu, M., Fisher, P.S.: A survey of quality measures for gray scale image compression. In: 9th Computing in Aerospace Conference, pp. 49\u201361. AIAA (October 1993)","DOI":"10.2514\/6.1993-4514"},{"key":"56_CR26","doi-asserted-by":"crossref","unstructured":"Hongtao, D., Hairong, Q., Wang, X., Ramanath, R., Snyder, W.E.: Band selection using component analysis for hyperspectral image processing. In: 32nd Workshop for Applied Imagery, Pattern Recognition, pp. 93\u201398 (2003)","DOI":"10.1109\/AIPR.2003.1284255"},{"issue":"2","key":"56_CR27","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1109\/TPAMI.2005.33","volume":"27","author":"J. Yang","year":"2005","unstructured":"Yang, J., Frangi, A.F., Yang, J., Jin, Z.: KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition. IEEE Trans. Pattern Anal. Mach. Intell.\u00a027(2), 230\u2013244 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"56_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1007\/978-3-540-30499-9_161","volume-title":"Neural Information Processing","author":"A. Saxena","year":"2004","unstructured":"Saxena, A., Gupta, A., Mukerjee, A.: Non-linear Dimensionality Reduction by Locally Linear Isomaps. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds.) ICONIP 2004. LNCS, vol.\u00a03316, pp. 1038\u20131043. Springer, Heidelberg (2004)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision and Graphics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33564-8_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,13]],"date-time":"2025-04-13T01:01:54Z","timestamp":1744506114000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33564-8_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642335631","9783642335648"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33564-8_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}