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Kenneth Kreutz-Delgado: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Patrick H. Kelly, Edward Hunter, Kenneth Kreutz-Delgado, Ramesh Jain
    Lip Posture Estimation using Kinematically Constrained Mixture Models. [Citation Graph (0, 0)][DBLP]
    BMVC, 1998, pp:- [Conf]
  2. Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
    Super-Gaussian Mixture Source Model for ICA. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:854-861 [Conf]
  3. Daryush Agahi, Kenneth Kreutz-Delgado
    A Star Topology Dynamic Model for Efficient Simulation of Multilimbed Robotic Systems. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:352-357 [Conf]
  4. David DeMers, Kenneth Kreutz-Delgado
    Issues in Learning Global Properties of the Robot Kinematic Mapping. [Citation Graph (0, 0)][DBLP]
    ICRA (1), 1993, pp:205-212 [Conf]
  5. David DeMers, Kenneth Kreutz-Delgado
    Canonically Parameterized Families of Inverse Kinematic Functions for Redundant Manipulators. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:1881-1886 [Conf]
  6. David DeMers, Kenneth Kreutz-Delgado
    Learning Global Direct Inverse Kinematics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:589-595 [Conf]
  7. David DeMers, Kenneth Kreutz-Delgado
    Global Regularization of Inverse Kinematics for Redundant Manipulators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:255-262 [Conf]
  8. Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao
    Variational EM Algorithms for Non-Gaussian Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Joseph F. Murray, Gordon F. Hughes, Kenneth Kreutz-Delgado
    Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:783-816 [Journal]
  10. Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
    Dictionary Learning Algorithms for Sparse Representation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:2, pp:349-396 [Journal]
  11. S. F. Cotter, Kenneth Kreutz-Delgado, Bhaskar D. Rao
    Backward sequential elimination for sparse vector subset selection. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2001, v:81, n:9, pp:1849-1864 [Journal]
  12. Joseph F. Murray, Kenneth Kreutz-Delgado
    Learning Sparse Overcomplete Codes for Images. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2006, v:45, n:1-2, pp:97-110 [Journal]
  13. Joseph F. Murray, Kenneth Kreutz-Delgado
    Learning Sparse Overcomplete Codes for Images. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2007, v:46, n:1, pp:1-13 [Journal]

  14. Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. [Citation Graph (, )][DBLP]

  15. Strong Sub- and Super-Gaussianity. [Citation Graph (, )][DBLP]

  16. Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. [Citation Graph (, )][DBLP]

  17. Newton method for the ICA mixture model. [Citation Graph (, )][DBLP]

  18. A complex cross-spectral distribution model using Normal Variance Mean Mixtures. [Citation Graph (, )][DBLP]

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