{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:08:04Z","timestamp":1743080884182,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319533742"},{"type":"electronic","value":"9783319533759"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-53375-9_6","type":"book-chapter","created":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T08:03:43Z","timestamp":1486022623000},"page":"104-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Online Data Validation Algorithm for Electronic Nose"],"prefix":"10.1007","author":[{"given":"Mina","family":"Mirshahi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vahid","family":"Partovi Nia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Adjengue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,2,3]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804090","volume-title":"Computational Complexity: A Modern Approach","author":"S Arora","year":"2009","unstructured":"Arora, S., Barak, B.: Computational Complexity: A Modern Approach. Cambridge University Press, Cambridge (2009)"},{"key":"6_CR2","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1002\/1099-128X(200009\/12)14:5\/6<711::AID-CEM607>3.0.CO;2-4","volume":"14","author":"T Artursson","year":"2000","unstructured":"Artursson, T., Eklov, T., Lundstrom, I., Martensson, P., Sjostrom, M., Holmberg, M.: Drift correction methods for gas sensors using multivariate methods. J. Chemometr. 14, 711\u2013723 (2000)","journal-title":"J. Chemometr."},{"key":"6_CR3","first-page":"1","volume":"X","author":"A Bermak","year":"2006","unstructured":"Bermak, A., Belhouari, S.B., Shi, M., Martinez, D.: Pattern recognition techniques for odor discrimination in gas sensor array. Encycl. Sens. X, 1\u201317 (2006)","journal-title":"Encycl. Sens."},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1002\/cem.940","volume":"19","author":"G Brys","year":"2006","unstructured":"Brys, G., Hubert, M., Rousseeuw, P.J.: A robustification of independent component analysis. Chemometrics 19, 364\u2013375 (2006)","journal-title":"Chemometrics"},{"key":"6_CR5","first-page":"305","volume":"14","author":"SD Carlo","year":"2012","unstructured":"Carlo, S.D., Falasconi, M.: Drift correction methods for gas chemical sensors in artificial olfaction systems: techniques and challenges. Adv. Chem. Sens. 14, 305\u2013326 (2012)","journal-title":"Adv. Chem. Sens."},{"issue":"4","key":"6_CR6","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/BF02712874","volume":"16","author":"TM Chan","year":"1996","unstructured":"Chan, T.M.: Output-sensitive results on convex hulls, extreme points, and related problems. Discrete Comput. Geom. 16(4), 369\u2013387 (1996)","journal-title":"Discrete Comput. Geom."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1093\/biomet\/87.3.603","volume":"87","author":"C Croux","year":"2000","unstructured":"Croux, C., Haesbroeck, G.: Principal components analysis based on robust estimators of the covariance or correlation matrix: infulence functions and efficiencies. Biometrika 87, 603\u2013618 (2000)","journal-title":"Biometrika"},{"key":"6_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0304-3975(80)90031-6","volume":"11","author":"DP Dobkin","year":"1980","unstructured":"Dobkin, D.P., Reiss, S.P.: The complexity of linear programing. Theor. Comput. Sci. 11, 1\u201318 (1980)","journal-title":"Theor. Comput. Sci."},{"key":"6_CR9","unstructured":"Donoho, D.L.: Breakdown properties of multivariate location estimators. Ph.D. Qualifying Paper Harvard University (1982)"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1177\/1094342007088380","volume":"22","author":"Q Du","year":"2008","unstructured":"Du, Q., Fowler, J.E.: Low-complexity principal component analysis for hyperspectral image compression. Int. J. High Perform. Comput. Appl. 22, 438\u2013448 (2008)","journal-title":"Int. J. High Perform. Comput. Appl."},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1093\/biostatistics\/kxm045","volume":"9","author":"J Friedman","year":"2008","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Sparse inverse covariance estimation with the graphical lasso. Biostatistics 9, 432\u2013441 (2008)","journal-title":"Biostatistics"},{"key":"6_CR12","first-page":"211","volume":"18","author":"J Gardner","year":"1994","unstructured":"Gardner, J., Bartlett, P.: A brief history of electronic noses. Sens. Actuators B: Chem. 18, 211\u2013220 (1994)","journal-title":"Sens. Actuators B: Chem."},{"key":"6_CR13","volume-title":"Matrix Computations","author":"GH Golub","year":"1996","unstructured":"Golub, G.H., Loan, C.F.V.: Matrix Computations, 3rd edn. The John Hopkins University Press, Baltimore (1996)","edition":"3"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1080\/715019247","volume":"37","author":"A Gupta","year":"2003","unstructured":"Gupta, A.: Multivariate skew t-distribution. Statistics 37, 359\u2013363 (2003)","journal-title":"Statistics"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1109\/JSEN.2002.800688","volume":"2","author":"R Gutierrez-Osuna","year":"2002","unstructured":"Gutierrez-Osuna, R.: Pattern analysis for machine olfaction: a review. IEEE Sens. J. 2, 189\u2013202 (2002)","journal-title":"IEEE Sens. J."},{"key":"6_CR16","unstructured":"Holmes, M.P., Gray, A.G., Isbell, C.L.: Fast SVD for large-scale matrices. In: Workshop on Efficient Machine Learning at NIPS, vol. 58 (2007)"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1198\/004017004000000563","volume":"47","author":"M Hubert","year":"2005","unstructured":"Hubert, M., Rousseeuw, P.J., Branden, K.V.: ROBPCA: a new approach to robust principal component analysis. Thechnometrics 47, 64\u201379 (2005)","journal-title":"Thechnometrics"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1002\/cem.1123","volume":"22","author":"M Hubert","year":"2008","unstructured":"Hubert, M., Van der Veeken, S.: Outlier detection for skewed data. J. Chemom. 22, 235\u2013246 (2008)","journal-title":"J. Chemom."},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"5186","DOI":"10.1016\/j.csda.2007.11.008","volume":"52","author":"M Hubert","year":"2008","unstructured":"Hubert, M., Vandervieren, E.: An adjusted boxplot for skewed distributions. Comput. Stat. Data Anal. 52, 5186\u20135201 (2008)","journal-title":"Comput. Stat. Data Anal."},{"key":"6_CR20","volume-title":"Principal Component Analysis","author":"I Jolliffe","year":"2002","unstructured":"Jolliffe, I.: Principal Component Analysis. Springer, Heidelberg (2002)"},{"key":"6_CR21","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/s11634-011-0086-7","volume":"5","author":"J Josse","year":"2011","unstructured":"Josse, J., Pag\u00e8s, J., Husson, F.: Multiple imputation in principal component analysis. Adv. Data Anal. Classif. 5, 231\u2013246 (2011)","journal-title":"Adv. Data Anal. Classif."},{"issue":"2","key":"6_CR22","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1111\/j.1467-9574.1981.tb00717.x","volume":"35","author":"AR Kan","year":"1981","unstructured":"Kan, A.R., Telgen, J.: The complexity of linear programming. Stat. Neerl. 35(2), 91\u2013107 (1981)","journal-title":"Stat. Neerl."},{"key":"6_CR23","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1109\/JSEN.2002.807488","volume":"3","author":"M Kermiti","year":"2003","unstructured":"Kermiti, M., Tomic, O.: Independent component analysis applied on gas sensor array measurement data. IEEE Sens. J. 3, 218\u2013228 (2003)","journal-title":"IEEE Sens. J."},{"key":"6_CR24","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1080\/01621459.1985.10478181","volume":"80","author":"G Li","year":"1985","unstructured":"Li, G., Chen, Z.: Projection-pursuit approach to robust dispersion matrices and principal components: primary theory and Monte Carlo. J. Am. Stat. Assoc. 80, 759\u2013766 (1985)","journal-title":"J. Am. Stat. Assoc."},{"key":"6_CR25","unstructured":"McGinley, P.C., Inc, S.: Standardized odor measurement practices for air quality testing. In: Air and Waste Management Association Symposium on Air Quality Measurement Methods and Technology, San Francisco, CA (2002)"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Mirshahi, M., Partovi Nia, V., Adjengue, L.: Statistical measurement validation with application to electronic nose technology. In: Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp. 407\u2013414 (2016)","DOI":"10.5220\/0005628204070414"},{"key":"6_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1007\/3-540-59042-0_105","volume-title":"STACS 95","author":"T Ottmann","year":"1995","unstructured":"Ottmann, T., Schuierer, S., Soundaralakshmi, S.: Enumerating extreme points in higher dimensions. In: Mayr, E.W., Puech, C. (eds.) STACS 1995. LNCS, vol. 900, pp. 562\u2013570. Springer, Heidelberg (1995). doi:10.1007\/3-540-59042-0_105"},{"key":"6_CR28","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.chemolab.2009.10.002","volume":"100","author":"M Padilla","year":"2010","unstructured":"Padilla, M., Perera, A., Montoliu, I., Chaudry, A., Persaud, K., Marco, S.: Drift compensation of gas sensor array data by orthogonal signal correction. J. Chemom. Intell. Lab. Syst. 100, 28\u201335 (2010)","journal-title":"J. Chemom. Intell. Lab. Syst."},{"key":"6_CR29","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1038\/299352a0","volume":"299","author":"K Persaud","year":"1982","unstructured":"Persaud, K., Dodd, G.: Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature 299, 352\u2013355 (1982)","journal-title":"Nature"},{"key":"6_CR30","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1214\/08-EJS201","volume":"2","author":"L Prendergast","year":"2008","unstructured":"Prendergast, L.: A note on sensitivity of principal component subspaces and the efficient detection of influential observations in high dimensions. Electron. J. Stat. 2, 454\u2013467 (2008)","journal-title":"Electron. J. Stat."},{"key":"6_CR31","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1080\/00401706.1999.10485670","volume":"41","author":"PJ Rousseeuw","year":"1999","unstructured":"Rousseeuw, P.J., Driessen, K.V.: A fast algorithm for the minumum covariance determinant estimator. Technometrics 41, 212\u2013223 (1999)","journal-title":"Technometrics"},{"key":"6_CR32","unstructured":"Stahel, W.A.: Robust estimation: infinitesimal optimality and covariance matrix estimators. Ph.D. thesis, ETH, Zurich (1981)"},{"key":"6_CR33","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani, R.: Regression shrinkage and selection via the lasso. J. Roy. Stat. Soc. Ser. B 58, 267\u2013288 (1996)","journal-title":"J. Roy. Stat. Soc. Ser. B"},{"key":"6_CR34","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/j.snb.2006.02.049","volume":"120","author":"M Zuppa","year":"2007","unstructured":"Zuppa, M., Distante, C., Persaud, K.C., Siciliano, P.: Recovery of drifting sensor responses by means of DWT analysis. J. Sens. Actuators 120, 411\u2013416 (2007)","journal-title":"J. Sens. Actuators"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition Applications and Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-53375-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,22]],"date-time":"2024-06-22T06:23:40Z","timestamp":1719037420000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-53375-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319533742","9783319533759"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-53375-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"3 February 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPRAM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition Applications and Methods","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 February 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 February 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpram2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}