| 2008 |
|---|
| 57 | EE | Marc M. Van Hulle:
Kernel-Based Topographic Maps: Theory and Applications.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 56 | EE | Marc M. Van Hulle:
Constrained Subspace ICA Based on Mutual Information Optimization Directly.
Neural Computation 20(4): 964-973 (2008) |
| 55 | EE | Marc M. Van Hulle:
Sequential Fixed-Point ICA Based on Mutual Information Minimization.
Neural Computation 20(5): 1344-1365 (2008) |
| 54 | EE | Marc M. Van Hulle,
Jan Larsen:
Machine Learning for Signal Processing.
Neurocomputing 72(1-3): 1-2 (2008) |
| 2007 |
|---|
| 53 | | Gert Van Dijck,
Jo Van Vaerenbergh,
Marc M. Van Hulle:
Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients.
AAAI 2007: 347-353 |
| 52 | EE | Nikolay V. Manyakov,
Marc M. Van Hulle:
Causality analysis of LFPs in micro-electrode arrays based on mutual information.
ESANN 2007: 447-452 |
| 51 | EE | Gert Van Dijck,
Jo Van Vaerenbergh,
Marc M. Van Hulle:
Information Theoretic Derivations for Causality Detection: Application to Human Gait.
ICANN (2) 2007: 159-168 |
| 50 | EE | Gert Van Dijck,
Marc M. Van Hulle,
Jo Van Vaerenbergh:
A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation.
ICDM 2007: 673-678 |
| 49 | EE | Gert Van Dijck,
Marc M. Van Hulle:
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering.
PKDD 2007: 277-287 |
| 48 | | 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.
VISAPP (1) 2007: 213-220 |
| 47 | EE | Norbert Krüger,
Florentin Wörgötter,
Marc M. Van Hulle:
Editorial: ECOVISION: Challenges in Early-Cognitive Vision.
International Journal of Computer Vision 72(1): 5-7 (2007) |
| 46 | EE | Karl Pauwels,
Markus Lappe,
Marc M. Van Hulle:
Fixation as a Mechanism for Stabilization of Short Image Sequences.
International Journal of Computer Vision 72(1): 67-78 (2007) |
| 2006 |
|---|
| 45 | EE | Gert Van Dijck,
Marc M. Van Hulle:
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis.
ICANN (1) 2006: 31-40 |
| 44 | EE | Gert Van Dijck,
Marc M. Van Hulle:
Onset Detection through Maximal Redundancy Detection.
ICPR (1) 2006: 945-949 |
| 43 | EE | Karl Pauwels,
Marc M. Van Hulle:
Optimal instantaneous rigid motion estimation insensitive to local minima.
Computer Vision and Image Understanding 104(1): 77-86 (2006) |
| 42 | EE | Temujin Gautama,
Marc M. Van Hulle:
Batch map extensions of the kernel-based maximum entropy learning rule.
IEEE Transactions on Neural Networks 17(2): 529-532 (2006) |
| 41 | EE | Marc M. Van Hulle:
Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures.
Neural Computation 18(2): 430-445 (2006) |
| 40 | EE | Marc M. Van Hulle:
Topographic map formation of factorized Edgeworth-expanded kernels.
Neural Networks 19(6-7): 744-750 (2006) |
| 2005 |
|---|
| 39 | EE | Karl Pauwels,
Marc M. Van Hulle:
Robust Instantaneous Rigid Motion Estimation.
CVPR (2) 2005: 980-985 |
| 38 | EE | Marc M. Van Hulle:
Maximum Likelihood Topographic Map Formation.
Neural Computation 17(3): 503-513 (2005) |
| 37 | EE | Marc M. Van Hulle:
Edgeworth-Expanded Gaussian Mixture Density Modeling.
Neural Computation 17(8): 1706-1714 (2005) |
| 36 | EE | Marc M. Van Hulle:
Edgeworth Approximation of Multivariate Differential Entropy.
Neural Computation 17(9): 1903-1910 (2005) |
| 35 | EE | Marc M. Van Hulle,
Jan Larsen:
Neural Networks in Signal Processing.
Neurocomputing 69(1-3): 1-2 (2005) |
| 34 | EE | Marc M. Van Hulle:
Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood.
Signal Processing 85(5): 951-963 (2005) |
| 2004 |
|---|
| 33 | | 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.
International Conference on Computational Intelligence 2004: 34-38 |
| 32 | | Gert Van Dijck,
M. Wevers,
Marc M. Van Hulle:
Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation.
International Conference on Computational Intelligence 2004: 39-43 |
| 31 | EE | Temujin Gautama,
Danilo P. Mandic,
Marc M. Van Hulle:
A non-parametric test for detecting the complex-valued nature of time series.
KES Journal 8(2): 99-106 (2004) |
| 30 | EE | 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.
Natural Computing 3(3): 293-321 (2004) |
| 29 | EE | David J. Miller,
Tülay Adali,
Jan Larsen,
Marc M. Van Hulle:
Guest Editorial for Special Issue on Machine Learning for Signal Processing.
VLSI Signal Processing 37(2-3): 171-175 (2004) |
| 28 | EE | Marc M. Van Hulle,
Temujin Gautama:
Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes.
VLSI Signal Processing 37(2-3): 211-222 (2004) |
| 2003 |
|---|
| 27 | EE | Temujin Gautama,
Danilo P. Mandic,
Marc M. Van Hulle:
A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series.
KES 2003: 1364-1371 |
| 26 | | Temujin Gautama,
Danilo P. Mandic,
Marc M. Van Hulle:
Signal Nonlinearity in fMRI: A Comparison between BOLD and MION.
IEEE Trans. Med. Imaging 22(5): 636-644 (2003) |
| 2002 |
|---|
| 25 | EE | Marc M. Van Hulle:
Kernel-Based Topographic Map Formation by Local Density Modeling.
Neural Computation 14(7): 1561-1573 (2002) |
| 24 | EE | Marc M. Van Hulle:
Joint Entropy Maximization in Kernel-Based Topographic Maps.
Neural Computation 14(8): 1887-190 (2002) |
| 23 | EE | Marc M. Van Hulle:
Kernel-based topographic map formation achieved with an information-theoretic approach.
Neural Networks 15(8-9): 1029-1039 (2002) |
| 22 | EE | Marc M. Van Hulle:
Blind Source Separation and Equiprobabilistic Topographic Maps.
VLSI Signal Processing 31(1): 19-30 (2002) |
| 21 | EE | Marc M. Van Hulle,
Temujin Gautama:
Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals.
VLSI Signal Processing 32(1-2): 119-134 (2002) |
| 20 | EE | Marc M. Van Hulle,
Jan Larsen,
Tülay Adali:
Guest Editors' Introduction.
VLSI Signal Processing 32(1-2): 5-6 (2002) |
| 2000 |
|---|
| 19 | EE | Tülay Adali,
Marc M. Van Hulle,
Mahasan Niranjan:
Guest Editors' Introduction.
VLSI Signal Processing 26(1-2): 5-6 (2000) |
| 18 | EE | Marc M. Van Hulle:
Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps.
VLSI Signal Processing 26(1-2): 79-94 (2000) |
| 1999 |
|---|
| 17 | EE | Marc M. Van Hulle:
Density-based clustering with topographic maps.
IEEE Transactions on Neural Networks 10(1): 204-207 (1999) |
| 16 | EE | Marc M. Van Hulle:
Faithful representations with topographic maps.
Neural Networks 12(6): 803-823 (1999) |
| 15 | | Temujin Gautama,
Marc M. Van Hulle:
Self-Organized Feature Extraction Achieved with a Parameterized Filterbank.
Neural Processing Letters 10(2): 131-137 (1999) |
| 1998 |
|---|
| 14 | | Lin Liu,
Marc M. Van Hulle:
Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion.
Neural Computation 10(2): 295-312 (1998) |
| 13 | | Marc M. Van Hulle:
Kernel-Based Equiprobable Topographic Map Formation.
Neural Computation 10(7): 1847-1871 (1998) |
| 12 | | Steven Raekelboom,
Marc M. Van Hulle:
The Softmap Algorithm.
Neural Processing Letters 8(2): 181-192 (1998) |
| 11 | EE | Marc M. Van Hulle:
Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing.
VLSI Signal Processing 18(3): 275-285 (1998) |
| 1997 |
|---|
| 10 | EE | Marc M. Van Hulle:
The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals.
Neural Computation 9(3): 595-606 (1997) |
| 9 | EE | Marc M. Van Hulle:
Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule.
Neural Networks 10(3): 431-446 (1997) |
| 1996 |
|---|
| 8 | | Marc M. Van Hulle:
Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis.
Neural Processing Letters 4(2): 97-105 (1996) |
| 1995 |
|---|
| 7 | EE | Dominique Martinez,
Marc M. Van Hulle:
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization.
Neural Networks 8(6): 891-900 (1995) |
| 1994 |
|---|
| 6 | EE | Tom Tollenaere,
J. Miguel Saraiva,
Marc M. Van Hulle:
Massive MIMD neural network simulations: The connections dilemma.
Concurrency - Practice and Experience 6(3): 153-191 (1994) |
| 1993 |
|---|
| 5 | EE | Marc M. Van Hulle,
Tom Tollenaere:
A modular artificial neural network for texture processing.
Neural Networks 6(1): 7-32 (1993) |
| 1992 |
|---|
| 4 | | Tom Tollenaere,
Marc M. Van Hulle,
Guy A. Orban:
Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks.
J. Parallel Distrib. Comput. 14(3): 286-305 (1992) |
| 1991 |
|---|
| 3 | EE | Marc M. Van Hulle:
A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem.
Int. J. Neural Syst. 2(3): 201-209 (1991) |
| 2 | EE | Marc M. Van Hulle,
Guy A. Orban:
Representation and processing in a stochastic neural network: An integrated approach.
Neural Networks 4(5): 643-655 (1991) |
| 1989 |
|---|
| 1 | | Marc M. Van Hulle,
Guy A. Orban:
Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal.
J. Parallel Distrib. Comput. 6(2): 264-290 (1989) |
