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Marc M. Van Hulle: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Karl Pauwels, Marc M. Van Hulle
    Robust Instantaneous Rigid Motion Estimation. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:980-985 [Conf]
  2. Gert Van Dijck, Marc M. Van Hulle
    Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:31-40 [Conf]
  3. Gert Van Dijck, Marc M. Van Hulle
    Onset Detection through Maximal Redundancy Detection. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:945-949 [Conf]
  4. Gert Van Dijck, Marc M. Van Hulle, M. Wevers
    Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a real-case Application. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:34-38 [Conf]
  5. Gert Van Dijck, M. Wevers, Marc M. Van Hulle
    Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:39-43 [Conf]
  6. Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
    A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1364-1371 [Conf]
  7. Karl Pauwels, Markus Lappe, Marc M. Van Hulle
    Fixation as a Mechanism for Stabilization of Short Image Sequences. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:72, n:1, pp:67-78 [Journal]
  8. Norbert Krüger, Florentin Wörgötter, Marc M. Van Hulle
    Editorial: ECOVISION: Challenges in Early-Cognitive Vision. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:72, n:1, pp:5-7 [Journal]
  9. Marc M. Van Hulle
    A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:2, n:3, pp:201-209 [Journal]
  10. Marc M. Van Hulle, Jan Larsen
    Neural Networks in Signal Processing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:69, n:1-3, pp:1-2 [Journal]
  11. Marc M. Van Hulle, Guy A. Orban
    Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1989, v:6, n:2, pp:264-290 [Journal]
  12. Tom Tollenaere, Marc M. Van Hulle, Guy A. Orban
    Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1992, v:14, n:3, pp:286-305 [Journal]
  13. Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault, Dirk Calow, Markus Lappe, Karl Pauwels, Marc M. Van Hulle, Sovira Tan, Alan Johnston
    Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2004, v:3, n:3, pp:293-321 [Journal]
  14. Marc M. Van Hulle
    Kernel-Based Topographic Map Formation by Local Density Modeling. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:7, pp:1561-1573 [Journal]
  15. Marc M. Van Hulle
    Joint Entropy Maximization in Kernel-Based Topographic Maps. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:8, pp:1887-190 [Journal]
  16. Marc M. Van Hulle
    Maximum Likelihood Topographic Map Formation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:3, pp:503-513 [Journal]
  17. Marc M. Van Hulle
    Edgeworth-Expanded Gaussian Mixture Density Modeling. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:8, pp:1706-1714 [Journal]
  18. Marc M. Van Hulle
    Edgeworth Approximation of Multivariate Differential Entropy. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:9, pp:1903-1910 [Journal]
  19. Marc M. Van Hulle
    Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:2, pp:430-445 [Journal]
  20. Marc M. Van Hulle
    The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:3, pp:595-606 [Journal]
  21. Marc M. Van Hulle
    Kernel-Based Equiprobable Topographic Map Formation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:7, pp:1847-1871 [Journal]
  22. Lin Liu, Marc M. Van Hulle
    Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:2, pp:295-312 [Journal]
  23. Marc M. Van Hulle
    Kernel-based topographic map formation achieved with an information-theoretic approach. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:1029-1039 [Journal]
  24. Marc M. Van Hulle
    Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:431-446 [Journal]
  25. Marc M. Van Hulle
    Faithful representations with topographic maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:6, pp:803-823 [Journal]
  26. Marc M. Van Hulle, Guy A. Orban
    Representation and processing in a stochastic neural network: An integrated approach. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:5, pp:643-655 [Journal]
  27. Marc M. Van Hulle, Tom Tollenaere
    A modular artificial neural network for texture processing. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:1, pp:7-32 [Journal]
  28. Dominique Martinez, Marc M. Van Hulle
    Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:6, pp:891-900 [Journal]
  29. Marc M. Van Hulle
    Topographic map formation of factorized Edgeworth-expanded kernels. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:744-750 [Journal]
  30. Temujin Gautama, Marc M. Van Hulle
    Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:10, n:2, pp:131-137 [Journal]
  31. Marc M. Van Hulle
    Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1996, v:4, n:2, pp:97-105 [Journal]
  32. Steven Raekelboom, Marc M. Van Hulle
    The Softmap Algorithm. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:8, n:2, pp:181-192 [Journal]
  33. Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
    Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2003, v:22, n:5, pp:636-644 [Journal]
  34. Marc M. Van Hulle
    Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:5, pp:951-963 [Journal]
  35. Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle
    Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:347-353 [Conf]
  36. Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle
    Information Theoretic Derivations for Causality Detection: Application to Human Gait. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:159-168 [Conf]
  37. Gert Van Dijck, Marc M. Van Hulle
    Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:277-287 [Conf]
  38. Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger
    Compact (and accurate) early vision processing in the harmonic space. [Citation Graph (0, 0)][DBLP]
    VISAPP (1), 2007, pp:213-220 [Conf]

  39. Causality analysis of LFPs in micro-electrode arrays based on mutual information. [Citation Graph (, )][DBLP]


  40. Combining ESOMs Trained on a Hierarchy of Feature Subsets for Single-Trial Decoding of LFP Responses in Monkey Area V4. [Citation Graph (, )][DBLP]


  41. A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation. [Citation Graph (, )][DBLP]


  42. Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. [Citation Graph (, )][DBLP]


  43. P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. [Citation Graph (, )][DBLP]


  44. Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. [Citation Graph (, )][DBLP]


  45. Analyzing Domestic Violence with Topographic Maps: A Comparative Study. [Citation Graph (, )][DBLP]


  46. How Emergent Self Organizing Maps Can Help Counter Domestic Violence. [Citation Graph (, )][DBLP]


  47. Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. [Citation Graph (, )][DBLP]


  48. Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs. [Citation Graph (, )][DBLP]


  49. A goal programming network for linear programming. [Citation Graph (, )][DBLP]


  50. Massive MIMD neural network simulations: The connections dilemma. [Citation Graph (, )][DBLP]


  51. Optimal instantaneous rigid motion estimation insensitive to local minima. [Citation Graph (, )][DBLP]


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