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Elmar Wolfgang Lang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Manuel Rodríguez Álvarez, Fernando Rojas Ruiz, Elmar Wolfgang Lang, Ignacio Rojas Ruiz, Carlos García Puntonet, Moisés Salmerón-Campos
    Lattice ICA for the separation of speech signals. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:337-342 [Conf]
  2. Fabian J. Theis, Elmar Wolfgang Lang
    How to generalize geometric ICA to higher dimensions. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:205-210 [Conf]
  3. Fabian J. Theis, Elmar Wolfgang Lang
    Geometric overcomplete ICA. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:217-222 [Conf]
  4. Fabian J. Theis, Elmar Wolfgang Lang
    Linearization identification and an application to BSS using a SOM. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:205-210 [Conf]
  5. Matthias Böhm, Kurt Stadlthanner, Ana Maria Tomé, Peter Gruber, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang
    AutoAssign - An Automatic Assignment Tool for Independent Components. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:75-82 [Conf]
  6. Eduardo Ros, M. M. Rodríguez, Sonia Mota, José Luis Bernier, Ignacio Rojas, Carlos García Puntonet, Elmar Wolfgang Lang
    Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:858-867 [Conf]
  7. Peter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang
    Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:993-1000 [Conf]
  8. Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet
    3D Spatial Analysis of fMRI Data on a Word Perception Task. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:977-984 [Conf]
  9. Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Pedro Gómez Vilda, Thomas Langmann, Gerd Schmitz
    Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:254-261 [Conf]
  10. Ana R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang, Kurt Stadlthanner
    Delayed AMUSE - A Tool for Blind Source Separation and Denoising. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:287-294 [Conf]
  11. Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang
    Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:726-733 [Conf]
  12. Thomas Burger, Elmar Wolfgang Lang
    A CBL Network Model with Intracortical Plasticity and Natural Image Stimuli. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:225-230 [Conf]
  13. Juan Manuel Górriz Sáez, Javier Ramírez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang
    Bispectrum-Based Statistical Tests for VAD. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:541-546 [Conf]
  14. Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer
    Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:189-194 [Conf]
  15. Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang
    Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:677-682 [Conf]
  16. Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet
    Overcomplete ICA with a Geometric Algorithm. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1049-1054 [Conf]
  17. Christian Ziegaus, Elmar Wolfgang Lang
    Statistics of Natural and Urban Images. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:219-224 [Conf]
  18. Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Elmar Wolfgang Lang, Kurt Stadlthanner
    Independent Component Analysis Applied to Voice Activity Detection. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2006, pp:234-241 [Conf]
  19. Juan Manuel Górriz, Javier Ramírez, I. Turias, Carlos García Puntonet, J. González, Elmar Wolfgang Lang
    C-Means Clustering Applied to Speech Discrimination. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2006, pp:649-656 [Conf]
  20. Juan Manuel Górriz Sáez, Carlos García Puntonet, Elmar Wolfgang Lang
    Hybrid SOM-SVM Algorithm for Real Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    ICINCO (1), 2004, pp:103-107 [Conf]
  21. Ingo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet
    Region of Interest Based Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1048-1057 [Conf]
  22. Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Juan Manuel Górriz, Ana Maria Tomé, Elmar Wolfgang Lang
    Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2005, pp:137-148 [Conf]
  23. Christoph Bauer, Thomas Burger, Elmar Wolfgang Lang
    A Neural Network Model for the Self-Organization of the Cortical Grating Cells. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:431-441 [Conf]
  24. Matthias Böhm, Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet
    A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:1075-1082 [Conf]
  25. Thomas Burger, Elmar Wolfgang Lang
    A Network Model for the Emergence of Orientation Maps and Local Lateral Circuits. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:421-430 [Conf]
  26. Ingo R. Keck, Elmar Wolfgang Lang, Salua Nassabay, Carlos García Puntonet
    Clustering of Signals Using Incomplete Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:1067-1074 [Conf]
  27. Christian Mies, Christoph Bauer, Günther Ackermann, Wolfgang Bäumler, Christoph Abels, Carlos García Puntonet, Manuel Rodríguez Álvarez, Elmar Wolfgang Lang
    Can ICA Help Classify Skin Cancer and Benign Lesions? [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:328-335 [Conf]
  28. Manuel Rodríguez Álvarez, Fernando Rojas, Elmar Wolfgang Lang, Ignacio Rojas
    A New Geometrical ICA-based Method for Blind Separation of Speech Signals. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:281-288 [Conf]
  29. Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang
    Extended Sparse Nonnegative Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:249-256 [Conf]
  30. Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang
    A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:575-582 [Conf]
  31. Martin Stetter, M. Kussinger, A. Schels, E. Seeger, Elmar Wolfgang Lang
    Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:37-44 [Conf]
  32. Fabian J. Theis, Manuel Rodríguez Álvarez, Carlos García Puntonet, Elmar Wolfgang Lang
    An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:695-702 [Conf]
  33. Fabian J. Theis, Christoph Bauer, Carlos García Puntonet, Elmar Wolfgang Lang
    Pattern Repulsion Revisited. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:778-785 [Conf]
  34. Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang
    An Improved Geometric Overcomplete Blind Source Separation Algorithm. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:265-272 [Conf]
  35. Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang
    Generalizing Geometric ICA to Nonlinear Settings. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:687-694 [Conf]
  36. Christian Ziegaus, Elmar Wolfgang Lang
    A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:295-302 [Conf]
  37. Christian Ziegaus, Elmar Wolfgang Lang
    Neural Implementation of the JADE-Algorithm. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:487-496 [Conf]
  38. Ingo R. Keck, Salua Nassabay, Carlos García Puntonet, Elmar Wolfgang Lang
    A New Approach to Clustering and Object Detection with Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:558-566 [Conf]
  39. Carlos García Puntonet, Ali Mansour, Christoph Bauer, Elmar Wolfgang Lang
    Separation of sources using simulated annealing and competitive learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:39-60 [Journal]
  40. Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang, Wolfram Gronwald, Hans Robert Kalbitzer
    Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:4-6, pp:497-522 [Journal]
  41. Fabian J. Theis, Elmar Wolfgang Lang, Carlos García Puntonet
    A geometric algorithm for overcomplete linear ICA. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:381-398 [Journal]
  42. Christian Ziegaus, Elmar Wolfgang Lang
    A neural implementation of the JADE algorithm (nJADE) using higher-order neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:79-100 [Journal]
  43. Peter Gruber, Kurt Stadlthanner, Matthias Böhm, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Carlos García Puntonet, Juan Manuel Górriz Sáez
    Denoising using local projective subspace methods. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1485-1501 [Journal]
  44. Carlos García Puntonet, Elmar Wolfgang Lang
    Blind source separation and independent component analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1413- [Journal]
  45. Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang
    Linear Geometric ICA: Fundamentals and Algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:2, pp:419-439 [Journal]
  46. Juan Manuel Górriz, Javier Ramírez, Elmar Wolfgang Lang, Carlos García Puntonet
    Hard C-means clustering for voice activity detection. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2006, v:48, n:12, pp:1638-1649 [Journal]
  47. Fabian J. Theis, Christoph Bauer, Elmar Wolfgang Lang
    Comparison of maximum entropy and minimal mutual information in a nonlinear setting. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2002, v:82, n:7, pp:971-980 [Journal]
  48. Ana R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang, Peter Gruber, A. Martins da Silva
    Automatic removal of high-amplitude artefacts from single-channel electroencephalograms. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2006, v:83, n:2, pp:125-138 [Journal]
  49. Ana R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang
    Greedy KPCA in Biomedical Signal Processing. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:486-495 [Conf]
  50. Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet
    Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:799-808 [Conf]
  51. Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Gerd Schmitz
    Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:80-89 [Conf]
  52. Salua Nassabay, Ingo R. Keck, Carlos García Puntonet, Rubén Martín-Clemente, Elmar Wolfgang Lang
    Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:692-699 [Conf]
  53. Ana Maria Tomé, Ana R. Teixeira, Elmar Wolfgang Lang, Kurt Stadlthanner, A. P. Rocha, R. Almeida
    dAMUSE - A new tool for denoising and blind source separation. [Citation Graph (0, 0)][DBLP]
    Digital Signal Processing, 2005, v:15, n:4, pp:400-421 [Journal]

  54. Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays. [Citation Graph (, )][DBLP]


  55. Feature Extraction Using Linear and Non-linear Subspace Techniques. [Citation Graph (, )][DBLP]


  56. Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data. [Citation Graph (, )][DBLP]


  57. Feature Extraction Using Low-Rank Approximations of the Kernel Matrix. [Citation Graph (, )][DBLP]


  58. Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis. [Citation Graph (, )][DBLP]


  59. Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets. [Citation Graph (, )][DBLP]


  60. Minimum Determinant Constraint for Non-negative Matrix Factorization. [Citation Graph (, )][DBLP]


  61. BSS-Based Feature Extraction for Skin Lesion Image Classification. [Citation Graph (, )][DBLP]


  62. Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. [Citation Graph (, )][DBLP]


  63. Serial Evolution. [Citation Graph (, )][DBLP]


  64. NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease. [Citation Graph (, )][DBLP]


  65. Exploratory Matrix Factorization for PET Image Analysis. [Citation Graph (, )][DBLP]


  66. A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis. [Citation Graph (, )][DBLP]


  67. A neural network model for the emergence of grating cells. [Citation Graph (, )][DBLP]


  68. Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. [Citation Graph (, )][DBLP]


  69. Knowledge-based gene expression classification via matrix factorization. [Citation Graph (, )][DBLP]


  70. Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis. [Citation Graph (, )][DBLP]


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