{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T22:07:21Z","timestamp":1772921241115,"version":"3.50.1"},"reference-count":32,"publisher":"Elsevier BV","issue":"9-10","license":[{"start":{"date-parts":[[2001,8,1]],"date-time":"2001-08-01T00:00:00Z","timestamp":996624000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2001,8]]},"DOI":"10.1016\/s0262-8856(01)00042-7","type":"journal-article","created":{"date-parts":[[2002,10,31]],"date-time":"2002-10-31T19:09:39Z","timestamp":1036091379000},"page":"649-668","source":"Crossref","is-referenced-by-count":59,"title":["Image compression using principal component neural networks"],"prefix":"10.1016","volume":"19","author":[{"given":"S.","family":"Costa","sequence":"first","affiliation":[]},{"given":"S.","family":"Fiori","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/S0262-8856(01)00042-7_BIB1","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1049\/ip-i-2.1993.0019","article-title":"Neural model for Karhunen\u2013Lo\u00e9ve transform with application to adaptive image compression","volume":"140","author":"Abbas","year":"1994","journal-title":"IEE Proc. I, Commun. Speech Vis."},{"key":"10.1016\/S0262-8856(01)00042-7_BIB2","doi-asserted-by":"crossref","unstructured":"M. Breazu, B.J. Beggs, G. Toderean, I.P. Mihu, Merging the transform step and the quantization step for Karhunen\u2013Lo\u00e8ve transform based image compression, in Proceedings of International Joint Conference on Neural Networks, vol. 5, 2000, pp. 483\u2013488.","DOI":"10.1109\/IJCNN.2000.861516"},{"issue":"2","key":"10.1016\/S0262-8856(01)00042-7_BIB3","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1109\/72.363480","article-title":"Principal component extraction using recursive least squares learning","volume":"6","author":"Bannour","year":"1995","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB4","series-title":"Neural Networks for Pattern Recognition","author":"Bishop","year":"1995"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB5","first-page":"1014","article-title":"Adaptive learning algorithm for principal component analysis with partial data","volume":"2","author":"Cichocki","year":"1996","journal-title":"Proc. Cybernetics Syst."},{"key":"10.1016\/S0262-8856(01)00042-7_BIB6","doi-asserted-by":"crossref","unstructured":"M.C.F. De Castro, F.C.C. De Castro, J.N. Amaral, P.R.G. Franco, A complex valued Hebbian learning algorithm, in Proceedings of the International Joint Conference on Neural Networks (IEEE-IJCNN), 1998, pp. 1235\u20131238.","DOI":"10.1109\/IJCNN.1998.685950"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB7","series-title":"Principal Component Neural Networks: Theory and Applications","author":"Diamantaras","year":"1996"},{"issue":"1\u20134","key":"10.1016\/S0262-8856(01)00042-7_BIB8","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0925-2312(00)00161-2","article-title":"Blind separation of circularly distributed source signals by the neural extended APEX algorithm","volume":"34","author":"Fiori","year":"2000","journal-title":"Neurocomputing"},{"issue":"9","key":"10.1016\/S0262-8856(01)00042-7_BIB9","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1109\/81.883336","article-title":"Class of \u03c8-APEX PCA neural algorithms","volume":"47","author":"Fiori","year":"2000","journal-title":"IEEE Trans. Circuits Syst. I"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB10","unstructured":"S. Fiori, A. Uncini, A unified approach to laterally-connected neural nets, in Proceedings of the IX European Signal Processing Conference (EUSIPCO), vol. 1, 1998, pp. 379\u2013382."},{"issue":"3","key":"10.1016\/S0262-8856(01)00042-7_BIB11","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1023\/A:1009663626444","article-title":"An experimental comparison of three PCA neural networks","volume":"11","author":"Fiori","year":"2000","journal-title":"Neural Process. Lett."},{"key":"10.1016\/S0262-8856(01)00042-7_BIB12","series-title":"Neural Networks","author":"Haykin","year":"1994"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB13","series-title":"Fundamentals of Digital Image Processing","author":"Jain","year":"1989"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB14","doi-asserted-by":"crossref","unstructured":"J. Karhunen, Optimization criteria and nonlinear PCA neural networks, in Proceedings of the International Joint Conference on Neural Networks (IEEE-IJCNN), 1994, pp. 1241\u20131246.","DOI":"10.1109\/ICNN.1994.374363"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB15","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1162\/neco.1994.6.4.739","article-title":"Stability of Oja's subspace rule","volume":"6","author":"Karhunen","year":"1994","journal-title":"Neural Computation"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB16","doi-asserted-by":"crossref","unstructured":"J. Karhunen, J. Joutsensalo, Learning of non-linear principal component subspace, in Proceedings of the International Joint Conference on Neural Networks (IEEE-IJCNN), 1993, pp. 2409\u20132412.","DOI":"10.1109\/IJCNN.1993.714211"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB17","doi-asserted-by":"crossref","unstructured":"J. Karhunen, J. Joutsensalo, Nonlinear generalizations of principal component learning algorithms, in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1993, pp. 2599\u20132602.","DOI":"10.1109\/IJCNN.1993.714256"},{"issue":"1","key":"10.1016\/S0262-8856(01)00042-7_BIB18","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/0893-6080(94)90060-4","article-title":"Representation and separation of signals using nonlinear PCA type learning","volume":"7","author":"Karhunen","year":"1994","journal-title":"Neural Networks"},{"issue":"4","key":"10.1016\/S0262-8856(01)00042-7_BIB19","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/0893-6080(94)00098-7","article-title":"Generalizations of PCA, optimization problems, and neural networks","volume":"8","author":"Karhunen","year":"1995","journal-title":"Neural Networks"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB20","doi-asserted-by":"crossref","unstructured":"J. Karhunen, L. Wang, R. Vigario, Nonlinear PCA type learning for source separation and independent component analysis, in Proceedings of the IEEE International Conference on Neural Network (ICNN), 1995, pp. 995\u20131000.","DOI":"10.1109\/ICNN.1995.487556"},{"issue":"5","key":"10.1016\/S0262-8856(01)00042-7_BIB21","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1109\/78.295198","article-title":"Adaptive principal component extraction (APEX) and applications","volume":"42","author":"Kung","year":"1994","journal-title":"IEEE Trans. Signal Processing"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB22","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.1109\/78.298287","article-title":"Orthogonal eigensubspace estimation using neural networks","volume":"42","author":"Mathew","year":"1994","journal-title":"IEEE Trans. Signal Processing"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB23","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/BF00275687","article-title":"A simplified neuron model as a principal component analyzer","volume":"15","author":"Oja","year":"1982","journal-title":"J. Math. Biol."},{"key":"10.1016\/S0262-8856(01)00042-7_BIB24","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1142\/S0129065789000475","article-title":"Neural networks, principal components, and subspaces","volume":"1","author":"Oja","year":"1989","journal-title":"Int. J. Neural System"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB25","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1016\/S0893-6080(05)80089-9","article-title":"Principal components, minor components, and linear neural networks","volume":"5","author":"Oja","year":"1992","journal-title":"Neural Networks"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB26","series-title":"Beyond PCA: statistical expansions by nonlinear neural networks","first-page":"1049","volume":"vol. 2","author":"Oja","year":"1994"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB27","unstructured":"A.T. Puga, A.P. Alves, An experiment on comparing PCA and ICA in classical transform image coding, in Proceedings of the Independent Component Analysis (ICA'98), 1998, pp. 105\u2013108."},{"issue":"7","key":"10.1016\/S0262-8856(01)00042-7_BIB28","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1209\/0295-5075\/10\/7\/015","article-title":"A self-organizing network for principal-component analysis","volume":"10","author":"Rubner","year":"1989","journal-title":"Europhys. Lett."},{"key":"10.1016\/S0262-8856(01)00042-7_BIB29","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0893-6080(89)90044-0","article-title":"Optimal unsupervised learning in a single-layer linear feed-forward neural network","volume":"2","author":"Sanger","year":"1989","journal-title":"Neural Networks"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB30","doi-asserted-by":"crossref","unstructured":"L. Wang, J. Karhunen, E. Oja, A bigradient optimization approach for robust PCA, MCA and source separation, in Proceedings of the International Joint Conference on Neural Networks (IEEE-IJCNN), 1995, pp. 1684\u20131689.","DOI":"10.1109\/ICNN.1995.488872"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB31","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/S0893-6080(05)80107-8","article-title":"Least mean square error reconstruction principle for self-organizing neural-nets","volume":"6","author":"Xu","year":"1993","journal-title":"Neural Networks"},{"key":"10.1016\/S0262-8856(01)00042-7_BIB32","unstructured":"J.M. Zurada, Introduction to Neural Artificial Systems, West Publishing Company, Boston, MA, USA 1992."}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885601000427?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885601000427?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T15:13:42Z","timestamp":1733325222000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885601000427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,8]]},"references-count":32,"journal-issue":{"issue":"9-10","published-print":{"date-parts":[[2001,8]]}},"alternative-id":["S0262885601000427"],"URL":"https:\/\/doi.org\/10.1016\/s0262-8856(01)00042-7","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2001,8]]}}}