Kenneth Kreutz-Delgado - Publications

Affiliations: 
Electrical Engineering (Intelsys, Robotics and Cont) University of California, San Diego, La Jolla, CA 
Area:
Electronics and Electrical Engineering

78 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Martínez-Cancino R, Delorme A, Wagner J, Kreutz-Delgado K, Sotero RC, Makeig S. What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy (Basel, Switzerland). 22. PMID 33287030 DOI: 10.3390/e22111262  0.6
2020 Martínez-Cancino R, Delorme A, Truong D, Artoni F, Kreutz-Delgado K, Sivagnanam S, Yoshimoto K, Majumdar A, Makeig S. The Open EEGLAB Portal Interface:High-Performance Computing with EEGLAB. Neuroimage. 116778. PMID 32289453 DOI: 10.1016/j.neuroimage.2020.116778  0.6
2019 Pion-Tonachini L, Kreutz-Delgado K, Makeig S. ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. Neuroimage. PMID 31103785 DOI: 10.1016/j.neuroimage.2019.05.026  0.6
2018 Ojeda A, Kreutz-Delgado K, Mullen T. Fast and robust Block-Sparse Bayesian learning for EEG source imaging. Neuroimage. PMID 29596978 DOI: 10.1016/j.neuroimage.2018.03.048  0.52
2017 Pion-Tonachini L, Makeig S, Kreutz-Delgado K. Crowd labeling latent Dirichlet allocation. Knowledge and Information Systems. 53: 749-765. PMID 30416242 DOI: 10.1007/s10115-017-1053-1  0.6
2016 Pedroni BU, Das S, Arthur JV, Merolla PA, Jackson BL, Modha DS, Kreutz-Delgado K, Cauwenberghs G. Mapping Generative Models onto a Network of Digital Spiking Neurons. Ieee Transactions On Biomedical Circuits and Systems. PMID 27214915 DOI: 10.1109/TBCAS.2016.2539352  1
2015 Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G. Event-driven contrastive divergence: neural sampling foundations. Frontiers in Neuroscience. 9: 104. PMID 25873857 DOI: 10.3389/fnins.2015.00104  1
2015 Das S, Pedroni BU, Merolla P, Arthur J, Cassidy AS, Jackson BL, Modha D, Cauwenberghs G, Kreutz-Delgado K. Gibbs sampling with low-power spiking digital neurons Proceedings - Ieee International Symposium On Circuits and Systems. 2015: 2704-2707. DOI: 10.1109/ISCAS.2015.7169244  1
2014 Balkan O, Bigdely-Shamlo N, Kreutz-Delgado K, Makeig S. Basis selection for maximally independent EEG sources. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6639-42. PMID 25571518 DOI: 10.1109/EMBC.2014.6945150  1
2014 Barak B, Feldman N, Okun E. Toll-like receptors as developmental tools that regulate neurogenesis during development: an update. Frontiers in Neuroscience. 8: 272. PMID 25221470 DOI: 10.3389/fnins.2014.00272  1
2014 Broccard FD, Mullen T, Chi YM, Peterson D, Iversen JR, Arnold M, Kreutz-Delgado K, Jung TP, Makeig S, Poizner H, Sejnowski T, Cauwenberghs G. Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disorders. Annals of Biomedical Engineering. 42: 1573-93. PMID 24833254 DOI: 10.1007/s10439-014-1032-6  1
2014 Balkan O, Kreutz-Delgado K, Makeig S. Localization of more sources than sensors via jointly-sparse bayesian learning Ieee Signal Processing Letters. 21: 131-134. DOI: 10.1109/LSP.2013.2294862  1
2013 Bigdely-Shamlo N, Kreutz-Delgado K, Kothe C, Makeig S. EyeCatch: data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 5845-8. PMID 24111068 DOI: 10.1109/EMBC.2013.6610881  1
2013 Burns MD, Bigdely-Shamlo N, Smith NJ, Kreutz-Delgado K, Makeig S. Comparison of averaging and regression techniques for estimating Event Related Potentials. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 1680-3. PMID 24110028 DOI: 10.1109/EMBC.2013.6609841  1
2013 Bigdely-Shamlo N, Mullen T, Kreutz-Delgado K, Makeig S. Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inference. Neuroimage. 72: 287-303. PMID 23370059 DOI: 10.1016/j.neuroimage.2013.01.040  1
2013 Palmer JA, Kreutz-Delgado K, Makeig S. The linear process mixture model Ieee International Workshop On Machine Learning For Signal Processing, Mlsp. DOI: 10.1109/MLSP.2013.6661925  1
2013 Pedroni BU, Das S, Neftci E, Kreutz-Delgado K, Cauwenberghs G. Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707067  1
2013 Balkan O, Kreutz-Delgado K, Makeig S. Robust joint sparse recovery on data with outliers Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3821-3825. DOI: 10.1109/ICASSP.2013.6638373  1
2013 Bigdely-Shamlo N, Kreutz-Delgado K, Kothe C, Makeig S. Towards an EEG search engine 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 25-28. DOI: 10.1109/GlobalSIP.2013.6736802  1
2013 Bigdely-Shamlo N, Kreutz-Delgado K, Robbins K, Miyakoshi M, Westerfield M, Bel-Bahar T, Kothe C, Hsi J, Makeig S. Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 1-4. DOI: 10.1109/GlobalSIP.2013.6736796  1
2012 Cao C, Akalin Acar Z, Kreutz-Delgado K, Makeig S. A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 1546-9. PMID 23366198 DOI: 10.1109/EMBC.2012.6346237  1
2012 Frankie T, Hughes G, Kreutz-Delgado K. The effect of TRIM requests on write amplification in solid state drives Proceedings of the Iasted International Conference On Communication, Internet, and Information Technology, Ciit 2012. 417-424. DOI: 10.2316/P.2012.773-031  1
2012 Frankie T, Hughes G, Kreutz-Delgado K. A mathematical model of the trim command in NAND-flash SSDs Proceedings of the Annual Southeast Conference. 59-64. DOI: 10.1145/2184512.2184527  1
2012 Makeig S, Kothe C, Mullen T, Bigdely-Shamlo N, Zhang Z, Kreutz-Delgado K. Evolving signal processing for brain-computer interfaces Proceedings of the Ieee. 100: 1567-1584. DOI: 10.1109/JPROC.2012.2185009  1
2012 DeMers D, Kreutz-Delgado K. Inverse Kinematics of Dextrous Manipulators Neural Systems For Robotics. 75-116. DOI: 10.1016/B978-0-08-092509-7.50008-7  1
2010 Burdge B, Kreutz-Delgado K, Murray J. A unified FOCUSS framework for learning sparse dictionaries and non-squared error Conference Record - Asilomar Conference On Signals, Systems and Computers. 2037-2041. DOI: 10.1109/ACSSC.2010.5757905  1
2010 Burdge B, Kreutz-Delgado K, Murray J. Parameterized deformation sparse coding via tree-structured parameter search Conference Record - Asilomar Conference On Signals, Systems and Computers. 2033-2036. DOI: 10.1109/ACSSC.2010.5757904  1
2010 Palmer JA, Kreutz-Delgado K, Makeig S. Strong sub- and super-Gaussianity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6365: 303-310. DOI: 10.1007/978-3-642-15995-4_38  1
2009 Levasseur C, Mayer UF, Kreutz-Delgado K. Classifying non-gaussian and mixed data sets in their natural parameter space Machine Learning For Signal Processing Xix - Proceedings of the 2009 Ieee Signal Processing Society Workshop, Mlsp 2009. DOI: 10.1109/MLSP.2009.5306227  1
2009 Palmer JA, Makeig S, Kreutz-Delgado K. A complex cross-spectral distribution model using normal variance mean mixtures Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3569-3572. DOI: 10.1109/ICASSP.2009.4960397  1
2009 Palmer JA, Kreutz-Delgado K, Makeig S. Probabilistic formulation of independent vector analysis using complex gaussian scale mixtures Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5441: 90-97. DOI: 10.1007/978-3-642-00599-2_12  1
2008 Kreutz-Delgado K, Isukapalli Y. Use of the Newton method for blind adaptive equalization based on the constant modulus algorithm Ieee Transactions On Signal Processing. 56: 3983-3995. DOI: 10.1109/TSP.2008.925247  1
2008 Levasseur C, Burdge B, Kreutz-Delgado K, Mayer UF. A unifying viewpoint of some clustering techniques using Bregman divergences and extensions to mixed data sets Proceedings of 11th International Conference On Computer and Information Technology, Iccit 2008. 56-63. DOI: 10.1109/ICCITECHN.2008.4803110  1
2008 Palmer JA, Makeig S, Kreutz-Delgado K, Rao BD. Newton method for the ica mixture model Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1805-1808. DOI: 10.1109/ICASSP.2008.4517982  1
2007 Murray JF, Kreutz-Delgado K. Visual recognition and inference using dynamic overcomplete sparse learning. Neural Computation. 19: 2301-52. PMID 17650062 DOI: 10.1162/neco.2007.19.9.2301  1
2007 Wipf D, Palmer J, Rao B, Kreutz-Delgado K. Performance evaluation of latent variable models with sparse priors Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2: II453-II456. DOI: 10.1109/ICASSP.2007.366270  1
2007 Vanesian T, Kreutz-Delgado K, Burgin G, Fogel D. Algorithmic tools for adversarial games: Intent analysis using evolutionary computation Proceedings of the 2007 Ieee Symposium On Computational Intelligence in Security and Defense Applications, Cisda 2007. 108-115. DOI: 10.1109/CISDA.2007.368142  1
2007 Murray JF, Kreutz-Delgado K. Learning sparse overcomplete codes for images Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 46: 1-13. DOI: 10.1007/s11265-006-0003-z  1
2007 Palmer JA, Kreutz-Delgado K, Rao BD, Makeig S. Modeling and estimation of dependent subspaces with non-radially symmetric and skewed densities Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4666: 97-104.  1
2006 Palmer JA, Kreutz-Delgado K, Makeig S. Super-Gaussian mixture source model for ICA Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3889: 854-861. DOI: 10.1007/11679363_106  1
2005 Cotter SF, Rao BD, Engan K, Kreutz-Delgado K. Sparse solutions to linear inverse problems with multiple measurement vectors Ieee Transactions On Signal Processing. 53: 2477-2488. DOI: 10.1109/TSP.2005.849172  1
2005 Palmer JA, Wipf DP, Kreutz-Delgado K, Rao BD. Variational em algorithms for non-Gaussian latent variable models Advances in Neural Information Processing Systems. 1059-1066.  1
2005 Levasseur C, Kreutz-Delgado K, Mayer U, Gancarz G. Data-pattern discovery methods for detection in nongaussian high-dimensional data sets Conference Record - Asilomar Conference On Signals, Systems and Computers. 2005: 545-549.  1
2005 Murray JF, Hughes GF, Kreutz-Delgado K. Machine learning methods for predicting failures in hard drives: A multiple-instance application Journal of Machine Learning Research. 6.  1
2004 Murray JF, Kreutz-Delgado K. Sparse image coding using learned overcomplete dictionaries Machine Learning For Signal Processing Xiv - Proceedings of the 2004 Ieee Signal Processing Society Workshop. 579-588.  1
2003 Kreutz-Delgado K, Murray JF, Rao BD, Engan K, Lee TW, Sejnowski TJ. Dictionary learning algorithms for sparse representation. Neural Computation. 15: 349-96. PMID 12590811 DOI: 10.1162/089976603762552951  1
2003 Gough DA, Kreutz-Delgado K, Bremer TM. Frequency characterization of blood glucose dynamics. Annals of Biomedical Engineering. 31: 91-7. PMID 12572659 DOI: 10.1114/1.1535411  1
2003 Rao BD, Engan K, Cotter SF, Palmer J, Kreutz-Delgado K. Subset selection in noise based on diversity measure minimization Ieee Transactions On Signal Processing. 51: 760-770. DOI: 10.1109/TSP.2002.808076  1
2003 Aldrich JB, Skelton RE, Kreutz-Delgado K. Control Synthesis for a Class of Light and Agile Robotic Tensegrity Structures Proceedings of the American Control Conference. 6: 5245-5251.  1
2002 Hughes GF, Murray JF, Kreutz-Delgado K, Elkan C. Improved disk-drive failure warnings Ieee Transactions On Reliability. 51: 350-357. DOI: 10.1109/TR.2002.802886  1
2002 Cotter SF, Kreutz-Delgado K, Rao BD. Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries Ieee Signal Processing Letters. 9: 145-147. DOI: 10.1109/LSP.2002.1009004  1
2002 Palmer JA, Kreutz-Delgado K. A globally convergent algorithm for MAP estimation in the linear model with non-gaussian priors Conference Record of the Asilomar Conference On Signals, Systems and Computers. 2: 1772-1776.  1
2001 Cotter SF, Kreutz-Delgado K, Rao BD. Backward sequential elimination for sparse vector subset selection Signal Processing. 81: 1849-1864. DOI: 10.1016/S0165-1684(01)00064-0  1
2001 Murray JF, Kreutz-Delgado K. An improved FOCUSS-based learning algorithm for solving sparse linear inverse problems Conference Record of the Asilomar Conference On Signals, Systems and Computers. 1: 347-351.  1
2000 Hardt M, Helton JW, Kreutz-Delgado K. Numerical solution of nonlinear H and H ∞ control problems with application to jet engine compressors Ieee Transactions On Control Systems Technology. 8: 98-111. DOI: 10.1109/87.817695  1
1999 Rao BD, Kreutz-Delgado K. An affine scaling methodology for best basis selection Ieee Transactions On Signal Processing. 47: 187-200. DOI: 10.1109/78.738251  1
1999 Cotter SF, Adler J, Rao BD, Kreutz-Delgado K. Forward sequential algorithms for best basis selection Iee Proceedings: Vision, Image and Signal Processing. 146: 235-244. DOI: 10.1049/ip-vis:19990445  1
1999 Kreutz-Delgado K, Rao BD, Engan K. Novel algorithms for learning overcomplete dictionaries Conference Record of the Asilomar Conference On Signals, Systems and Computers. 2: 971-975.  1
1999 Kreutz-Delgado K, Rao BD. Sparse basis selection, ICA, and majorization: Towards a unified perspective Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2: 1081-1084.  1
1998 Demers D, Kreutz-Delgado K. Learning global properties of nonredundant kinematic mappings International Journal of Robotics Research. 17: 547-560.  1
1998 Kreutz-Delgado K, Rao BD. Application of concave/schur-concave functions to the learning of overcomplete dictionaries and sparse representations Conference Record of the Asilomar Conference On Signals, Systems and Computers. 1: 546-550.  1
1998 Rao BD, Kreutz-Delgado K, Dharanipragada S. Improving spectral resolution using basis selection Ieee Signal Processing Workshop On Statistical Signal and Array Processing, Ssap. 336-339.  1
1998 Rao BD, Kreutz-Delgado K. Basis selection in the presence of noise Conference Record of the Asilomar Conference On Signals, Systems and Computers. 1: 752-756.  1
1998 Rao BD, Kreutz-Delgado K. Deriving algorithms for computing sparse solutions to linear inverse problems Conference Record of the Asilomar Conference On Signals, Systems and Computers. 1: 955-959.  1
1998 Kreutz-Delgado K, Rao BD. Measures and algorithms for best basis selection Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3: 1881-1884.  1
1997 Padgett C, Kreutz-Delgado K. A grid algorithm for autonomous star identification Ieee Transactions On Aerospace and Electronic Systems. 33: 202-213. DOI: 10.1109/7.570743  1
1997 Adler J, Rao BD, Kreutz-Delgado K. Comparison of basis selection methods Conference Record of the Asilomar Conference On Signals, Systems and Computers. 1: 252-257.  1
1996 DeMers D, Kreutz-Delgado K. Canonical parameterization of excess motor degrees of freedom with self-organizing maps Ieee Transactions On Neural Networks. 7: 43-55. DOI: 10.1109/72.478391  1
1995 Kreutz-Delgado K, Agahi D. A Recursive Singularity-Robust Jacobian Generalized Inverse Ieee Transactions On Robotics and Automation. 11: 887-892. DOI: 10.1109/70.478435  1
1992 Wen JT, Kreutz-Delgado K, Bayard DS. Lyapunov Function-Based Control Laws for Revolute Robot Arms: Tracking Control, Robustness, and Adaptive Control Ieee Transactions On Automatic Control. 37: 231-237. DOI: 10.1109/9.121624  1
1992 Rodriguez G, Kreutz-Delgado K. Spatial Operator Factorization and Inversion of the Manipulator Mass Matrix Ieee Transactions On Robotics and Automation. 8: 65-76. DOI: 10.1109/70.127240  1
1992 Wen JT, Kreutz-Delgado K. Motion and force control of multiple robotic manipulators Automatica. 28: 729-743. DOI: 10.1016/0005-1098(92)90033-C  1
1992 Rodriguez G, Jain A, Kreutz-Delgado K. Spatial operator algebra for multibody system dynamics Journal of the Astronautical Sciences. 40: 27-50.  1
1991 Wen JTY, Kreutz-Delgado K. The Attitude Control Problem Ieee Transactions On Automatic Control. 36: 1148-1162. DOI: 10.1109/9.90228  1
1991 Rodriguez G, Jain A, Kreutz-Delgado K. Spatial operator algebra for manipulator modeling and control International Journal of Robotics Research. 10: 371-381.  1
1991 Kreutz-Delgado K, Jain A, Rodriguez G. Recursive formulation of operational space control Proceedings - Ieee International Conference On Robotics and Automation. 2: 1750-1753.  1
1990 Jain A, Rodriguez G, Kreutz-Delgado K. Multi-arm grasp and manipulation of objects with internal degrees of freedom Proceedings of the Ieee Conference On Decision and Control. 6: 3110-3111.  1
1990 Kreutz-Delgado K, Long M, Seraji H. Kinematic analysis of 7 DOF anthropomorphic arms . 824-830.  1
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