2008 |
10 | EE | Ju Lynn Ong,
Abd-Krim Seghouane,
Kevin Osborn:
Mean Shape Models for Polyp Detection in CT Colonography.
DICTA 2008: 287-293 |
9 | EE | Ju Lynn Ong,
Abd-Krim Seghouane,
Kevin Osborn:
Polyp detection in CT colonography based on shape characteristics and Kullback-Leibler divergence.
ISBI 2008: 636-639 |
8 | EE | Martin Kleinsteuber,
Abd-Krim Seghouane:
On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays.
IEEE Transactions on Signal Processing 56(2): 860-864 (2008) |
2007 |
7 | EE | Abd-Krim Seghouane,
Shun-ichi Amari:
The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence.
IEEE Transactions on Neural Networks 18(1): 97-106 (2007) |
6 | EE | Abd-Krim Seghouane,
Andrzej Cichocki:
Bayesian estimation of the number of principal components.
Signal Processing 87(3): 562-568 (2007) |
2006 |
5 | EE | Abd-Krim Seghouane:
A note on overfitting properties of KIC and KICc.
Signal Processing 86(10): 3055-3060 (2006) |
4 | EE | Maïza Bekara,
Luc Knockaert,
Abd-Krim Seghouane,
Gilles Fleury:
A model selection approach to signal denoising using Kullback's symmetric divergence.
Signal Processing 86(7): 1400-1409 (2006) |
3 | EE | Abd-Krim Seghouane:
Multivariate regression model selection from small samples using Kullback's symmetric divergence.
Signal Processing 86(8): 2074-2084 (2006) |
2005 |
2 | EE | Abd-Krim Seghouane,
Maïza Bekara,
Gilles Fleury:
A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence.
Signal Processing 85(7): 1405-1417 (2005) |
2004 |
1 | EE | Abd-Krim Seghouane,
Yassir Moudden,
Gilles Fleury:
Regularizing the effect of input noise injection in feedforward neural networks training.
Neural Computing and Applications 13(3): 248-254 (2004) |