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Other publications by Jean-Christophe Nebel

Automatic Configuration of Spectral Dimensionality Reduction Methods

M. Lewandowski, D. Makris and J.-C. Nebel

Pattern Recognition Letters, 31(12)
2010
[PDF]

Abstract
We propose an advanced framework for the automatic configuration of spectral dimensionality reduction methods. This is achieved by introducing, first, the mutual information measure to assess the quality of discovered embedded spaces. Secondly, unsupervised Radial Basis Function network is designated for mapping between spaces where the learning process is derived from graph theory and based on Markov cluster algorithm. Experiments on synthetic and real datasets demonstrate the effectiveness of the proposed methodology.

Cited by ( Google Scholar: 13, ISI Web of Knowledge: 6 & SCOPUS: 7 ): 13

2024

IoTSecUT: Uncertainty-Based Hybrid Deep Learning Approach for Superior IoT Security Amidst Evolving Cyber Threats, A. G. M. Mengara, Y. Yoo and V. C. M. Leung, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3404808, 2024 (G) (I)

2020

Image Texture Analysis for Medical Image Mining: A Comparative Study Direct to Osteoarthritis Classification using Knee X-ray Image, Sophal Chan, Kwankamon Dittakan, Matias Garcia-Constantino, International Journal on Advanced Science Engineering and Information Technology 10(6), DOI: 10.18517/ijaseit.10.6.8279, 2020 (G)

2019

PCANet: A Common Solution for Laser-Induced Fluorescence Spectral Classification, Feng Hu Mengran Zhou, Pengcheng Yan, Kai Bian, Rongying Dai, IEEE Access, volume 7, 107129 - 107141, DOI: 10.1109/ACCESS.2019.2933453, 2019 (G) (I) (S)

2015

Efficient tracking of human poses using a manifold hierarchy, Moutzouris, A., Martinez del Rincon, J., Nebel, J.-C., Makris, D., Computer Vision and Image Understanding 132, pp. 75-86, 2015 (G) (I) (S)

2014

Weighted kernel locally linear embedding for dimensionality reduction, Niu, B., Gu, H., Sun, J., Zhou, X., Journal of Information and Computational Science, 11(7):2109-2116, 2014 (G) (S)
Human face recognition based on ensemble of polyharmonic extreme learning machine, Zhao, J., Zhou, Z., Cao, F., Neural Computing and Applications, 24(6):1317-1326, 2014 (G) (I) (S)
Structural Laplacian Eigenmaps for modeling sets of multivariate sequences, Lewandowski, M., Makris, D., Velastin, S.A., Nebel, J.-C., IEEE Transactions on Cybernetics, 44(6):936-949, 2014 (G) (I) (S)
Generalized Laplacian eigenmaps for modeling and tracking human motions, Martinez del Rincon, J., Lewandowski, M., Nebel, J.-C., Makris, D., IEEE Transactions on Cybernetics, 44(9):1646-1660, 2014 (G) (I) (S)

2011

The estimation algorithm of Laplacian Eigenvalues for the tangent bundle 2, Dong, M., Li, F., Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011, pp. 492-496, 2011 (G) (S)
Multi-Class Manifold Preserving Isomap Using Sammon's Projection, Shashwati Mishra, Chittaranjan Pradhan, The IUP Journal of Computer Sciences, Vol. V(3):18-32, 2011 (G)
Selection of k in Manifold Learning based on k-Nearest Neighbor Graph, Hyunsoek Choi, Hyeyoung Par, Journal of KISS (KOREA INFORMATION SCIENCE SOCIETY): Software and Applications, 38(9):497-502, 2011 (G)
Human pose tracking in low dimensional space enhanced by limb correction, A. Moutzouris, J Martinez del Rincon, M Lewandowski, J.-C. Nebel and D. Makris, IEEE International Conference on Image Processing, Sept 11, Brussels, 2011 (G)

2010

Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series, M. Lewandowski, J. Martinez del Rincon, D. Makris and J.-C. Nebel, International Conference on Pattern Recognition (ICPR 2010), August 23-26, Istanbul, Turkey, 2010 (G)

j.nebel@kingston.ac.uk