{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T12:58:36Z","timestamp":1725886716127},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319515465"},{"type":"electronic","value":"9783319515472"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-51547-2_7","type":"book-chapter","created":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T10:59:28Z","timestamp":1493722768000},"page":"133-159","source":"Crossref","is-referenced-by-count":0,"title":["The Interplay Between Big Data and Sparsity in Systems Identification"],"prefix":"10.1007","author":[{"given":"O.","family":"Camps","sequence":"first","affiliation":[]},{"given":"M.","family":"Sznaier","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,3]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TAC.1981.1102596","volume":"26","author":"E Sontag","year":"1981","unstructured":"E. Sontag, Nonlinear regulation: the piecewise linear approach. IEEE Trans. Autom. Control 26, 346\u2013358 (1981)","journal-title":"IEEE Trans. Autom. Control"},{"key":"7_CR2","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1109\/18.256506","volume":"39","author":"L Breiman","year":"1993","unstructured":"L. Breiman, Hinging hyperplanes for regression, classification and function approximation. IEEE Trans. Inf. Theory 39, 999\u20131013 (1993)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"7_CR3","unstructured":"M.\u00a0Sznaier, Compressive information extraction: a dynamical systems approach, in Proceedings of the 16th IFAC Symposium on Systems Identification (SYSID 2012), plenary talk (2012), pp. 1559\u20131568"},{"issue":"10","key":"7_CR4","doi-asserted-by":"publisher","first-page":"2837","DOI":"10.1109\/TAC.2014.2313761","volume":"59","author":"M Sznaier","year":"2014","unstructured":"M. Sznaier, M. Ayazoglu, T. Inanc, Fast structured nuclear norm minimization with applications to set membership systems identification. IEEE Trans. Autom. Control 59(10), 2837\u20132842 (2014)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"6","key":"7_CR5","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1007\/s10208-012-9135-7","volume":"12","author":"V Chandrasekaran","year":"2012","unstructured":"V. Chandrasekaran, B. Recht, P.A. Parrilo, A.S. Willsky, The convex geometry of linear inverse problems. Found. Comput. Math. 12(6), 805\u2013849 (2012)","journal-title":"Found. Comput. Math."},{"key":"7_CR6","unstructured":"A. Tewari, P. Ravikumar, I.S. Dhillon, Greedy algorithms for structurally constrained high dimensional problems, in Advances in Neural Information Processing Systems vol. 24 (2011), pp. 882\u2013890"},{"key":"7_CR7","unstructured":"B.\u00a0Yilmaz, C.\u00a0Lagoa, M.\u00a0Sznaier, An efficient atomic norm minimization approach to identification of low order models, in 2013 IEEE CDC (2013), pp. 5834 \u2013 5839"},{"key":"7_CR8","unstructured":"P. Shah, B.N. Bhaskar, G. Tang, B. Recht, Linear system identification via atomic norm regularization, in 2012 IEEE 51st Annual Conference on Decision and Control (CDC) (2012), pp. 6265\u20136270"},{"key":"7_CR9","unstructured":"B.\u00a0Yilmaz, C.\u00a0Lagoa, M.\u00a0Sznaier, An efficient atomic norm minimization approach to identification of low order models, in 52nd IEEE CDC (2013), pp. 5834\u20135839"},{"issue":"2","key":"7_CR10","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1137\/S0097539792240406","volume":"24","author":"BK Natarajan","year":"1995","unstructured":"B.K. Natarajan, Sparse approximate solutions to linear systems. SIAM J. Comput 24(2), 227\u2013234 (1995)","journal-title":"SIAM J. Comput"},{"issue":"3","key":"7_CR11","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1109\/TAC.2011.2166295","volume":"57","author":"N Ozay","year":"2012","unstructured":"N. Ozay, M. Sznaier, C.M. Lagoa, O.I. Camps, A sparsification approach to set membership identification of switched affine systems. IEEE Trans. Autom. Control 57(3), 634\u2013648 (2012)","journal-title":"IEEE Trans. Autom. Control"},{"key":"7_CR12","unstructured":"Y.\u00a0Wang, C.\u00a0Dicle, M.\u00a0Sznaier, O.\u00a0Camps, Self scaled regularized robust regression, in 2015 IEEE CVPR (2015), pp. 3261\u20133269"},{"key":"7_CR13","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Cheng, Y.\u00a0Wang, O.\u00a0Camps, M.\u00a0Sznaier, Subspace clustering with priors via sparse quadratically constrained quadratic programming, in 2016 CVPR (to appear)","DOI":"10.1109\/CVPR.2016.562"},{"key":"7_CR14","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Wang, O.\u00a0Camps, M.\u00a0Sznaier, A super-atomic norm minimization approach to identifying sparse dynamical graphical models, in 2016 American Control Conference (to appear)","DOI":"10.1109\/ACC.2016.7525206"},{"key":"7_CR15","unstructured":"J. Chen, G. Gu, Control Oriented System Identification, An $$\\cal{H}_\\infty $$ Approach (Wiley, New York, 2000)"},{"issue":"5","key":"7_CR16","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s00041-008-9045-x","volume":"14","author":"EJ Candes","year":"2008","unstructured":"E.J. Candes, M. Wakin, S. Boyd, Enhancing sparsity by reweighted l1 minimization. J. Fourier Anal. Appl. 14(5), 877\u2013905 (2008)","journal-title":"J. Fourier Anal. Appl."},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"M.\u00a0Fazel, H.\u00a0Hindi, S.P. Boyd, Log-det heuristic for matrix rank minimization with applications to hankel and euclidean distance matrices, in Proceedings of American Control Conference 2003, vol. 3 (AACC, 2003), pp. 2156\u20132162","DOI":"10.1109\/ACC.2003.1243393"},{"key":"7_CR18","unstructured":"Y.\u00a0Cheng, Y.\u00a0Wang, M.\u00a0Sznaier, N.\u00a0Ozay, C.\u00a0Lagoa, A convex optimization approach to model (in)validation of switched arx systems with unknown switches, in 51 IEEE CDC (2012), pp. 6284\u20136290"},{"issue":"4","key":"7_CR19","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1109\/87.930971","volume":"9","author":"T Inanc","year":"2001","unstructured":"T. Inanc, M. Sznaier, P.A. Parrilo, R.S. Sanchez Pena, Robust identification with mixed time\/frequency domain experiments and parametric\/nonparametric models: theory and an application. IEEE Trans. Control Syst. Tech. 9(4), 608\u2013617 (2001)","journal-title":"IEEE Trans. Control Syst. Tech."},{"key":"7_CR20","doi-asserted-by":"publisher","unstructured":"M. Ayazoglu, B. Yilmaz, M. Sznaier, O. Camps, Finding causal interactions in video sequences, in 2013 IEEE International Conference on Computer Vision (ICCV) (IEEE, 2013), pp. 3575\u20133582","DOI":"10.1109\/ICCV.2013.444"},{"key":"7_CR21","unstructured":"M.S. Ryoo, J.K. Aggarwal, UT-Interaction Dataset, ICPR contest on Semantic Description of Human Activities (SDHA) (2010). http:\/\/cvrc.ece.utexas.edu\/SDHA2010\/Human_Interaction.html"},{"key":"7_CR22","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.automatica.2014.10.101","volume":"51","author":"N Ozay","year":"2015","unstructured":"N. Ozay, C. Lagoa, M. Sznaier, Set membership identification of switched linear systems with known number of subsystems. Automatica 51, 180\u2013191 (2015)","journal-title":"Automatica"},{"key":"7_CR23","doi-asserted-by":"publisher","unstructured":"N.\u00a0Ozay, M. Sznaier, C.\u00a0Lagoa, Model (in)validation of switched ARX systems with unknown switches and its application to activity monitoring, in Proceedings of 2010 IEEE Conference on Decision and Control (CDC) (2010), pp. 7624\u20137630","DOI":"10.1109\/CDC.2010.5717330"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"F.\u00a0Xiong, Y.\u00a0Cheng, O.\u00a0Camps, M.\u00a0Sznaier, C.\u00a0Lagoa, Hankel based maximum margin classifiers: a connection between machine learning and wiener systems identification, in Proceedings of 2013 IEEE CDC (2013)","DOI":"10.1109\/CDC.2013.6760837"},{"issue":"3","key":"7_CR25","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1137\/S1052623400366802","volume":"11","author":"JB Lasserre","year":"2001","unstructured":"J.B. Lasserre, Lasserre. Global optimization with polynomials and the problem of moments. SIAM J. Optim. 11(3), 796\u2013817 (2001)","journal-title":"SIAM J. Optim."},{"issue":"3","key":"7_CR26","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1137\/05064504X","volume":"17","author":"JB Lasserre","year":"2006","unstructured":"J.B. Lasserre, Convergent sdp-relaxations in polynomial optimization with sparsity. SIAM J. Optim. 17(3), 822\u2013843 (2006)","journal-title":"SIAM J. Optim."}],"container-title":["Springer Tracts in Advanced Robotics","Geometric and Numerical Foundations of Movements"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-51547-2_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,22]],"date-time":"2019-09-22T17:44:57Z","timestamp":1569174297000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-51547-2_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319515465","9783319515472"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-51547-2_7","relation":{},"ISSN":["1610-7438","1610-742X"],"issn-type":[{"type":"print","value":"1610-7438"},{"type":"electronic","value":"1610-742X"}],"subject":[],"published":{"date-parts":[[2017]]}}}