The following pages link to Abd-Krim Seghouane (Q956312):
Displaying 25 items.
- A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence (Q956315) (← links)
- Bayesian estimation of the number of principal components (Q970703) (← links)
- A model selection approach to signal denoising using Kullback's symmetric divergence (Q1031121) (← links)
- Multivariate regression model selection from small samples using Kullback's symmetric divergence (Q1031241) (← links)
- A note on overfitting properties of KIC and KIC\(_{c}\) (Q1031390) (← links)
- Asymptotic bootstrap corrections of AIC for linear regression models (Q1048800) (← links)
- Identification of directed influence: Granger causality, Kullback-Leibler divergence, and complexity (Q2919418) (← links)
- On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays (Q4567699) (← links)
- Vector Autoregressive Model-Order Selection From Finite Samples Using Kullback's Symmetric Divergence (Q4590510) (← links)
- Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis (Q4618866) (← links)
- Robust Hemodynamic Response Function Estimation From fNIRS Signals (Q4631474) (← links)
- (Q4825363) (← links)
- Learning in presence of input noise using the stochastic EM algorithm (Q5116318) (← links)
- Sparse Principal Component Analysis With Preserved Sparsity Pattern (Q5238331) (← links)
- An $\alpha$ -Divergence-Based Approach for Robust Dictionary Learning (Q5238643) (← links)
- A Small Sample Model Selection Criterion Based on Kullback's Symmetric Divergence (Q5355571) (← links)
- From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods (Q5370027) (← links)
- A Kullback–Leibler Divergence Approach to Blind Image Restoration (Q5370145) (← links)
- Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition (Q5378349) (← links)
- Is First-Order Vector Autoregressive Model Optimal for fMRI Data? (Q5380317) (← links)
- Improving the Incoherence of a Learned Dictionary via Rank Shrinkage (Q5380643) (← links)
- Fast Estimation of Approximate Matrix Ranks Using Spectral Densities (Q5380703) (← links)
- TRPAST: a tunable and robust projection approximation subspace tracking method (Q6603609) (← links)
- Joint Approximate Partial Diagonalization of Large Matrices (Q6742891) (← links)
- Outlier-Bias Removal with Alpha Divergence: A Robust Non-Convex Estimator for Linear Regression (Q6759886) (← links)
