{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T23:15:57Z","timestamp":1720394157479},"reference-count":66,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2012,12,1]],"date-time":"2012-12-01T00:00:00Z","timestamp":1354320000000},"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":["Neurocomputing"],"published-print":{"date-parts":[[2012,12]]},"DOI":"10.1016\/j.neucom.2011.03.060","type":"journal-article","created":{"date-parts":[[2012,6,15]],"date-time":"2012-06-15T20:31:16Z","timestamp":1339792276000},"page":"143-150","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Intrinsic Bayesian model for high-dimensional unsupervised reduction"],"prefix":"10.1016","volume":"98","author":[{"given":"Longcun","family":"Jin","sequence":"first","affiliation":[]},{"given":"Wanggen","family":"Wan","sequence":"additional","affiliation":[]},{"given":"Yongliang","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Xiaoqing","family":"Yu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"5500","key":"10.1016\/j.neucom.2011.03.060_bib1","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"Tenenbaum","year":"2000","journal-title":"Science"},{"issue":"6","key":"10.1016\/j.neucom.2011.03.060_bib2","doi-asserted-by":"crossref","DOI":"10.1109\/36.803413","article-title":"Hyperspectral data analysis and supervised feature reduction via projection pursuit","volume":"37","author":"Jimenez","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib3","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2004.841417","article-title":"Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations","volume":"43","author":"Plaza","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"6","key":"10.1016\/j.neucom.2011.03.060_bib4","article-title":"Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis","volume":"44","author":"Wang","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib5","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2005.860982","article-title":"Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage","volume":"44","author":"Othman","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib6","doi-asserted-by":"crossref","DOI":"10.1109\/LGRS.2005.846011","article-title":"On the impact of PCA dimension reduction for hyperspectral detection of difficult targets","volume":"2","author":"Farrell","year":"2005","journal-title":"IEEE Geosci. Remote Sensing Lett."},{"issue":"7","key":"10.1016\/j.neucom.2011.03.060_bib7","doi-asserted-by":"crossref","DOI":"10.1109\/TSP.2008.917851","article-title":"Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery","volume":"56","author":"Dobigeon","year":"2008","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.neucom.2011.03.060_bib8","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/S0925-2312(02)00635-5","article-title":"A training algorithm for classification of high-dimensional data","volume":"50","author":"Vieira","year":"2003","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2011.03.060_bib9","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.neucom.2004.04.009","article-title":"High-dimensional labeled data analysis with topology representing graphs","volume":"63","author":"Aupetit","year":"2005","journal-title":"Neurocomputing"},{"issue":"6","key":"10.1016\/j.neucom.2011.03.060_bib10","doi-asserted-by":"crossref","DOI":"10.1109\/TSMCB.2005.850151","article-title":"Supervised nonlinear dimensionality reduction for visualization and classification","volume":"35","author":"Geng","year":"2005","journal-title":"IEEE Trans. Syst. Man Cybern. Part B: Cybern."},{"issue":"13\u201315","key":"10.1016\/j.neucom.2011.03.060_bib11","doi-asserted-by":"crossref","first-page":"1608","DOI":"10.1016\/j.neucom.2005.05.015","article-title":"From outliers to prototypes: ordering data","volume":"69","author":"Harmeling","year":"2006","journal-title":"Neurocomputing"},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib12","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2006.56","article-title":"Incremental nonlinear dimensionality reduction by manifold learning","volume":"28","author":"Law","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib13","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2004.841417","article-title":"Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations","volume":"43","author":"Plaza","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib14","doi-asserted-by":"crossref","DOI":"10.1109\/LGRS.2006.888105","article-title":"Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images","volume":"4","author":"Mohan","year":"2007","journal-title":"IEEE Geosci. Remote Sensing Lett."},{"issue":"4","key":"10.1016\/j.neucom.2011.03.060_bib15","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1109\/TC.2007.70811","article-title":"Reduction of the average path length in binary decision diagrams by spectral methods","volume":"57","author":"Keren","year":"2008","journal-title":"IEEE Trans. Comput."},{"issue":"23","key":"10.1016\/j.neucom.2011.03.060_bib16","doi-asserted-by":"crossref","first-page":"21336","DOI":"10.1364\/OE.17.021336","article-title":"Device based in-chip critical dimension and overlay metrology","volume":"17","author":"Young-Nam","year":"2009","journal-title":"Opt. Express"},{"issue":"9","key":"10.1016\/j.neucom.2011.03.060_bib17","doi-asserted-by":"crossref","first-page":"7592","DOI":"10.1364\/OE.17.007592","article-title":"Automated correlation dimension analysis of optically injected solid state lasers","volume":"17","author":"Toomey","year":"2009","journal-title":"Opt. Express"},{"issue":"18","key":"10.1016\/j.neucom.2011.03.060_bib18","doi-asserted-by":"crossref","first-page":"11313","DOI":"10.1364\/OE.15.011313","article-title":"Hyperspectral imaging of plasmonic nanostructures with nanoscale resolution","volume":"15","author":"Bashevoy","year":"2007","journal-title":"Opt. Express"},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib19","doi-asserted-by":"crossref","DOI":"10.1109\/LGRS.2005.844658","article-title":"Band selection based on feature weighting for classification of hyperspectral data","volume":"2","author":"Huang","year":"2005","journal-title":"IEEE Geosci. Remote Sensing Lett."},{"issue":"8","key":"10.1016\/j.neucom.2011.03.060_bib20","first-page":"1171","article-title":"Spectral feature-band hyperspectral RS image retrieval","volume":"25","author":"Du","year":"2005","journal-title":"Spectrosc. Spectral Anal."},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib21","doi-asserted-by":"crossref","first-page":"1836","DOI":"10.1364\/OE.16.001836","article-title":"Infrared hyperspectral imaging using a broadly tunable external cavity quantum cascade laser and microbolometer focal plane array","volume":"16","author":"Phillips Mark","year":"2008","journal-title":"Opt. Express"},{"issue":"10","key":"10.1016\/j.neucom.2011.03.060_bib22","doi-asserted-by":"crossref","first-page":"6794","DOI":"10.1364\/OE.16.006794","article-title":"Hyperspectral fluorescence lidar imaging at the Colosseum, Rome: elucidating past conservation interventions","volume":"16","author":"Palombi","year":"2008","journal-title":"Opt. Express"},{"issue":"7","key":"10.1016\/j.neucom.2011.03.060_bib23","doi-asserted-by":"crossref","first-page":"5666","DOI":"10.1364\/OE.17.005666","article-title":"Polarized light in coastal waters: hyperspectral and multiangular analysis","volume":"17","author":"Tonizzo","year":"2009","journal-title":"Opt. Express"},{"issue":"10","key":"10.1016\/j.neucom.2011.03.060_bib24","doi-asserted-by":"crossref","first-page":"8602","DOI":"10.1364\/OE.17.008602","article-title":"Tomographic imaging of temperature and chemical species based on hyperspectral absorption spectroscopy","volume":"17","author":"Ma","year":"2009","journal-title":"Opt. Express"},{"issue":"20","key":"10.1016\/j.neucom.2011.03.060_bib25","doi-asserted-by":"crossref","first-page":"17391","DOI":"10.1364\/OE.17.017391","article-title":"Decision boundaries in two dimensions for target detection in hyperspectral imagery","volume":"17","author":"Foy","year":"2009","journal-title":"Opt. Express"},{"issue":"1","key":"10.1016\/j.neucom.2011.03.060_bib26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/088342306000000682","article-title":"Fisher lecture: dimension reduction in regression","volume":"22","author":"Cook","year":"2007","journal-title":"Stat. Sci."},{"issue":"1","key":"10.1016\/j.neucom.2011.03.060_bib27","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1109\/TAES.2006.1603408","article-title":"Dimension reduction for array processing with robust interference cancellation","volume":"42","author":"Li","year":"2006","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib28","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1109\/TKDE.2006.30","article-title":"Generalized dimension-reduction framework for recent-biased time series analysis","volume":"18","author":"Zhao","year":"2006","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2011.03.060_bib29","article-title":"Lanczos vectors versus singular vectors for effective dimension reduction","volume":"5","author":"Chen","year":"2008","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"10.1016\/j.neucom.2011.03.060_bib30","article-title":"A robust adaptive dimension reduction technique with application to array processing","volume":"16","author":"Aboulnasr Hassanien","year":"2009","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"10.1016\/j.neucom.2011.03.060_bib31","article-title":"Dimension reduction as a deflation method in ICA","volume":"13","author":"Zhang","year":"2006","journal-title":"IEEE Signal Process. Lett."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib32","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2005.860982","article-title":"Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage","volume":"44","author":"Othman","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"10.1016\/j.neucom.2011.03.060_bib33","doi-asserted-by":"crossref","DOI":"10.1117\/1.2723663","article-title":"Dimensionality reduction of hyperspectral imagery using improved locally linear embedding","volume":"1","author":"Chen","year":"2007","journal-title":"J. Appl. Remote Sensing"},{"issue":"10","key":"10.1016\/j.neucom.2011.03.060_bib34","article-title":"Feature reduction via generalized uncorrelated linear discriminant analysis","volume":"18","author":"Ye","year":"2006","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"5","key":"10.1016\/j.neucom.2011.03.060_bib35","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1016\/j.patrec.2005.09.004","article-title":"Information-preserving hybrid data reduction based on fuzzy-rough techniques","volume":"27","author":"Hu","year":"2006","journal-title":"Pattern Recognition Lett"},{"issue":"9","key":"10.1016\/j.neucom.2011.03.060_bib36","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2006.184","article-title":"Diffusion maps and coarse-graining: a unified framework for dimensionality reduction, graph partitioning, and data set parameterization","volume":"28","author":"Lafon","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"10.1016\/j.neucom.2011.03.060_bib37","article-title":"A systems approach for data compression and latency reduction in cortically controlled brain machine interfaces","volume":"53","author":"Karim","year":"2006","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"10.1016\/j.neucom.2011.03.060_bib38","article-title":"Feature subset selection and ranking for data dimensionality reduction","volume":"2009","author":"Hua-Liang Wei","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib39","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1364\/AO.43.000227","article-title":"Feature reduction and morphological processing for hyperspectral image data","volume":"43","author":"Casasent","year":"2004","journal-title":"Appl. Opt."},{"key":"10.1016\/j.neucom.2011.03.060_bib40","article-title":"Constrained dimensionality reduction using a mixed-norm penalty function with neural networks","author":"Huiwen Zeng","year":"2009","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2011.03.060_bib41","doi-asserted-by":"crossref","first-page":"4064","DOI":"10.1016\/j.csda.2006.12.047","article-title":"On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation","volume":"51","author":"Demirtas","year":"2007","journal-title":"Comput. Stat. Data Anal."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib42","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1109\/TIP.2007.914227","article-title":"Bayesian approach with hidden markov modeling and mean field approximation for hyperspectral data analysis","volume":"17","author":"Bali","year":"2008","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"10.1016\/j.neucom.2011.03.060_bib43","doi-asserted-by":"crossref","first-page":"2684","DOI":"10.1109\/TSP.2008.917851","article-title":"Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery","volume":"56","author":"Dobigeon","year":"2008","journal-title":"IEEE Trans. Signal Process."},{"issue":"7","key":"10.1016\/j.neucom.2011.03.060_bib44","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.tics.2006.05.009","article-title":"Bayesian models of inductive learning and reasoning","volume":"10","author":"Tenenbaum","year":"2008","journal-title":"Trends Cogn. Sci."},{"issue":"1","key":"10.1016\/j.neucom.2011.03.060_bib45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3758\/PBR.15.1.1","article-title":"Three case studies in the Bayesian analysis of cognitive models","volume":"15","author":"Lee Michael","year":"2008","journal-title":"Psychon. Bull. Rev."},{"key":"10.1016\/j.neucom.2011.03.060_bib46","doi-asserted-by":"crossref","unstructured":"A.J. Chorin, P. Krause, Dimensional reduction for a Bayesian filter, in: Proceedings of the National Academy of Sciences of the United States of America, Oct. 2004, 101 (42) 15013\u201315017.","DOI":"10.1073\/pnas.0406222101"},{"issue":"4\u20135","key":"10.1016\/j.neucom.2011.03.060_bib47","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/S0893-6080(00)00022-8","article-title":"Bias reduction in skewed binary classification with Bayesian neural networks","volume":"13","author":"Lisboa","year":"2000","journal-title":"Neural Net."},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib48","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1109\/TSMCB.2003.811121","article-title":"Bayesian classification and feature reduction using uniform Dirichlet priors","volume":"33","author":"Lynch","year":"2003","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"issue":"5","key":"10.1016\/j.neucom.2011.03.060_bib49","doi-asserted-by":"crossref","first-page":"337","DOI":"10.5589\/m08-058","article-title":"Simultaneous dimensionality reduction and denoising of hyperspectral imagery using bivariate wavelet shrinking and principal component analysis","volume":"34","author":"Chen","year":"2008","journal-title":"Can. J. Remote Sensing"},{"issue":"12","key":"10.1016\/j.neucom.2011.03.060_bib50","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2007.905311","article-title":"Dimensionality reduction based on clonal selection for hyperspectral imagery","volume":"45","author":"Zhang","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"4","key":"10.1016\/j.neucom.2011.03.060_bib51","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1109\/LGRS.2007.896331","article-title":"Fast hyperspectral feature reduction using piecewise constant function approximations","volume":"4","author":"Jensen","year":"2007","journal-title":"IEEE Geosci. Remote Sensing Lett."},{"issue":"7","key":"10.1016\/j.neucom.2011.03.060_bib52","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1366\/000370206777886964","article-title":"Fuzzy clustering of Raman spectral imaging data with a wavelet-based noise-reduction approach","volume":"60","author":"Wang","year":"2006","journal-title":"Appl. Spectrosc."},{"issue":"4","key":"10.1016\/j.neucom.2011.03.060_bib53","doi-asserted-by":"crossref","DOI":"10.1109\/TCSI.2005.859772","article-title":"Model-order reduction using variational balanced truncation with spectral shaping","volume":"53","author":"Heydari","year":"2006","journal-title":"IEEE Trans. Circuits Syst. I: Regular Pap."},{"issue":"7\u20139","key":"10.1016\/j.neucom.2011.03.060_bib54","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.neucom.2005.12.010","article-title":"Support vector machine for functional data classification","volume":"69","author":"Rossi","year":"2006","journal-title":"Neurocomputing"},{"issue":"7\u20139","key":"10.1016\/j.neucom.2011.03.060_bib55","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1016\/j.neucom.2006.10.150","article-title":"High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria","volume":"70","author":"Simon","year":"2007","journal-title":"Neurocomputing"},{"issue":"13\u201315","key":"10.1016\/j.neucom.2011.03.060_bib56","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.1016\/j.neucom.2005.12.025","article-title":"Denoising using local projective subspace methods","volume":"69","author":"Gruber","year":"2006","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2011.03.060_bib57","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/TIP.2007.912018","article-title":"A recursive model-reduction method for approximate inference in Gaussian Markov random fields","volume":"17","author":"Johnson","year":"2008","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2011.03.060_bib58","doi-asserted-by":"crossref","unstructured":"L.C. Jin, W.G. Wan, B. Cui, Y.L. Wu. Bayesian of inductive cognition algorithm for adaptive classification, in: Proceedings of the SPIE, PIAGENG 2009, WA 98227-0010, US.","DOI":"10.1117\/12.836806"},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib59","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1016\/j.neuroimage.2004.06.037","article-title":"Hierarchical Bayesian estimation for MEG inverse problem","volume":"23","author":"Sato","year":"2004","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib60","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1109\/TPAMI.2008.87","article-title":"Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models","volume":"31","author":"Wang","year":"2009","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2011.03.060_bib61","unstructured":"L.C. Jin, W.G. Wan, B. Cui, X.Q. Yu, H.W. Xu. A new multimedia information data mining method, in: Proceedings of the ACM GEC\u201909, NY 10036-5701, US."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib62","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1109\/TRO.2007.912091","article-title":"Sensor planning for mobile robot localization: a hierarchical approach using a Bayesian net work and a particle filter","volume":"24","author":"Zhou","year":"2008","journal-title":"IEEE Trans. Robotics"},{"issue":"6","key":"10.1016\/j.neucom.2011.03.060_bib63","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1109\/TSMCA.2007.906570","article-title":"Mixed-initiative human-robot interaction using hierarchical Bayesian networks","volume":"37","author":"Jin-Hyuk Hong","year":"2007","journal-title":"IEEE Trans. Syst. Man Cybern.Part A: Syst. Hum."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib64","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1109\/78.978392","article-title":"Classification of chirp signals using hierarchical Bayesian learning and MCMC methods","volume":"50","author":"Manuel Davy","year":"2002","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"10.1016\/j.neucom.2011.03.060_bib65","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1109\/TGRS.2003.821066","article-title":"The Bayesian hierarchical classifier (BHC) and its application to short vegetation using multifrequency polarimetric SAR","volume":"42","author":"Yanni Kouskoulas","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"issue":"3","key":"10.1016\/j.neucom.2011.03.060_bib66","doi-asserted-by":"crossref","DOI":"10.1109\/TIP.2004.841195","article-title":"Unsupervised multistage image classification using hierarchical clustering with a Bayesian similarity measure","volume":"14","author":"Sanghoon Lee","year":"2005","journal-title":"IEEE Trans. Image Process."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231212004389?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231212004389?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,6,29]],"date-time":"2019-06-29T21:21:17Z","timestamp":1561843277000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231212004389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,12]]},"references-count":66,"alternative-id":["S0925231212004389"],"URL":"http:\/\/dx.doi.org\/10.1016\/j.neucom.2011.03.060","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2012,12]]}}}