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Deniz Erdogmus: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Santosh Mathan, Stephen Whitlow, Deniz Erdogmus, Misha Pavel, Patricia Ververs, Michael Dorneich
    Neurophysiologically driven image triage: a pilot study. [Citation Graph (0, 0)][DBLP]
    CHI Extended Abstracts, 2006, pp:1085-1090 [Conf]
  2. Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
    Information Force Clustering Using Directed Trees. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2003, pp:68-82 [Conf]
  3. Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
    Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2005, pp:34-45 [Conf]
  4. Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    Recursive Least Squares for an Entropy Regularized MSE Cost Function. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:451-456 [Conf]
  5. Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo
    Accelerating the convergence speed of neural networks learning methods using least squares. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:255-260 [Conf]
  6. Tian Lan, Yonghong Huang, Deniz Erdogmus
    A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:823-830 [Conf]
  7. Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
    Gaussianizing Transformations for ICA. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:26-32 [Conf]
  8. Umut Ozertem, Deniz Erdogmus, Tian Lan
    Recursive Generalized Eigendecomposition for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:198-205 [Conf]
  9. Luis Vielva, Ignacio Santamaría, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe
    On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:185-192 [Conf]
  10. Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen
    Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:747-754 [Conf]
  11. Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
    Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:311-318 [Conf]
  12. Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo
    Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:456-461 [Conf]
  13. Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo
    Linear Least-Squares Based Methods for Neural Networks Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:84-91 [Conf]
  14. Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft
    The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  15. Deniz Erdogmus, José Carlos Príncipe
    Insights on the relationship between probability of misclassification and information transfer through classifiers. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2002, v:3, n:1, pp:40-54 [Journal]
  16. Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe
    Blind source separation using Renyi's -marginal entropies. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:25-38 [Journal]
  17. Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, Jose C. Principe
    Fast error whitening algorithms for system identification and control with noisy data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:69, n:1-3, pp:158-181 [Journal]
  18. Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild II
    Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2002, v:1, n:1, pp:85-108 [Journal]
  19. Tue Lehn-Schiøler, Anant Hegde, Deniz Erdogmus, José Carlos Príncipe
    Vector quantization using information theoretic concepts. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2005, v:4, n:1, pp:39-51 [Journal]
  20. Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, José Carlos Príncipe
    Minimax Mutual Information Approach for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:6, pp:1235-1252 [Journal]
  21. Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe
    A new classifier based on information theoretic learning with unlabeled data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:719-726 [Journal]
  22. Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel Nicolelis
    Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:865-871 [Journal]
  23. Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe
    Stochastic error whitening algorithm for linear filter estimation with noisy data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:873-880 [Journal]
  24. Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, Jose C. Principe
    Feature Extraction Using Information-Theoretic Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:9, pp:1385-1392 [Journal]
  25. Umut Ozertem, Deniz Erdogmus, Robert Jenssen
    Spectral feature projections that maximize Shannon mutual information with class labels. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:7, pp:1241-1252 [Journal]
  26. Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, Jose C. Principe, Torbjørn Eltoft
    Information cut for clustering using a gradient descent approach. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:3, pp:796-806 [Journal]
  27. Kenneth E. Hild II, Deniz Erdogmus, Jose C. Principe
    An analysis of entropy estimators for blind source separation. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2006, v:86, n:1, pp:182-194 [Journal]
  28. Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons
    Asymptotic SNR-performance of some image combination techniques for phased-array MRI. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2004, v:84, n:6, pp:997-1003 [Journal]
  29. Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons
    Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2004, v:84, n:6, pp:1035-1040 [Journal]
  30. Anant Hegde, Deniz Erdogmus, Deng S. Shiau, José Carlos Príncipe, Chris J. Sackellares
    Quantifying spatio-temporal dependencies in epileptic ECOG. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:11, pp:2082-2100 [Journal]
  31. Deniz Erdogmus, José Carlos Príncipe
    Information Theoretic Signal Processing. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:5, pp:873-874 [Journal]
  32. Deniz Erdogmus, Rati Agrawal, José Carlos Príncipe
    A mutual information extension to the matched filter. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:5, pp:927-935 [Journal]
  33. Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus
    Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:633-640 [Conf]
  34. Jeongho Cho, Jose C. Principe, Deniz Erdogmus, Mark A. Motter
    Quasi-sliding mode control strategy based on multiple-linear models. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:4-6, pp:960-974 [Journal]
  35. Umut Ozertem, Deniz Erdogmus
    Nonparametric Snakes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:9, pp:2361-2368 [Journal]
  36. Allan Kardec Barros, José Carlos Príncipe, Deniz Erdogmus
    Independent Component Analysis and Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:8, pp:1817-1818 [Journal]
  37. Seungju Han, Sudhir Rao, Deniz Erdogmus, Kyu-Hwa Jeong, José Carlos Príncipe
    A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS). [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:11, pp:2733-2745 [Journal]
  38. Robert Jenssen, Torbjørn Eltoft, Deniz Erdogmus, Jose C. Principe
    Some Equivalences between Kernel Methods and Information Theoretic Methods. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2006, v:45, n:1-2, pp:49-65 [Journal]
  39. Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, Jose C. Principe
    Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2006, v:45, n:1-2, pp:67-83 [Journal]
  40. Tian Lan, Deniz Erdogmus
    Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2007, v:48, n:1-2, pp:39-52 [Journal]
  41. David J. Miller, Deniz Erdogmus
    Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2007, v:48, n:1-2, pp:1-3 [Journal]
  42. Anant Hegde, José Carlos Príncipe, Deniz Erdogmus, Umut Ozertem, Yadunandana N. Rao, Hemanth Peddaneni
    Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2006, v:45, n:1-2, pp:85-95 [Journal]

  43. Rapid image analysis using neural signals. [Citation Graph (, )][DBLP]


  44. A reproducing kernel Hilbert space framework for pairwise time series distances. [Citation Graph (, )][DBLP]


  45. Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS. [Citation Graph (, )][DBLP]


  46. A Novel Switching Scheme Between Adaptive Information Algorithms. [Citation Graph (, )][DBLP]


  47. A Nonparametric Approach for Active Contours. [Citation Graph (, )][DBLP]


  48. Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. [Citation Graph (, )][DBLP]


  49. Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. [Citation Graph (, )][DBLP]


  50. Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution. [Citation Graph (, )][DBLP]


  51. Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces. [Citation Graph (, )][DBLP]


  52. Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. [Citation Graph (, )][DBLP]


  53. Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. [Citation Graph (, )][DBLP]


  54. Geometric structure of sum-of-rank-1 decompositions for n-dimensional order-p symmetric tensors. [Citation Graph (, )][DBLP]


  55. Detecting mild cognitive loss with continuous monitoring of medication adherence. [Citation Graph (, )][DBLP]


  56. Local conditions for critical and principal manifolds. [Citation Graph (, )][DBLP]


  57. Density geodesics for similarity clustering. [Citation Graph (, )][DBLP]


  58. Large-scale image database triage via EEG evoked responses. [Citation Graph (, )][DBLP]


  59. Signal denoising using principal curves: Application to timewarping. [Citation Graph (, )][DBLP]


  60. Target detection using incremental learning on single-trial evoked response. [Citation Graph (, )][DBLP]


  61. A new approach for the reassignment of time-frequency representations. [Citation Graph (, )][DBLP]


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