| Adaptive Learning for Robust Radial Basis Function Networks. | 0 | 0.34 | 2021 |
| Adaptive complex-valued dictionary learning: Application to fMRI data analysis. | 0 | 0.34 | 2020 |
| Robust Structured Dictionary Learning For Block Sparse Representations Using α-Divergence. | 0 | 0.34 | 2020 |
| Two dimensional CCA via penalized matrix decomposition for structure preserved fMRI data analysis | 0 | 0.34 | 2019 |
| Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis. | 0 | 0.34 | 2019 |
| Robust Hemodynamic Response Function Estimation From fNIRS Signals. | 2 | 0.37 | 2019 |
| A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations. | 0 | 0.34 | 2019 |
| Estimating The Number Of Significant Canonical Coordinates | 0 | 0.34 | 2019 |
| A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme. | 3 | 0.41 | 2018 |
| Two-Dimensional Whitening of Face Images for Improved PCA Performance. | 1 | 0.37 | 2018 |
| The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA. | 0 | 0.34 | 2018 |
| Consistent adaptive sequential dictionary learning. | 2 | 0.40 | 2018 |
| Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis. | 0 | 0.34 | 2018 |
| Hybrid Joint Diagonalization Algorithms. | 0 | 0.34 | 2018 |
| Find the dimension that counts: Fast dimension estimation and Krylov PCA. | 0 | 0.34 | 2018 |
| Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis. | 6 | 0.48 | 2017 |
| Sparse and smooth canonical correlation analysis through rank-1 matrix approximation. | 1 | 0.35 | 2017 |
| Fast estimation of approximate matrix ranks using spectral densities. | 7 | 0.49 | 2017 |
| fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift. | 1 | 0.35 | 2017 |
| Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis. | 5 | 0.42 | 2017 |
| Is First-Order Vector Autoregressive Model Optimal for fMRI Data? | 2 | 0.38 | 2015 |
| Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models | 5 | 0.42 | 2015 |
| Non-Local Noise Estimation for Adaptive Image Denoising | 0 | 0.34 | 2015 |
| Consistent estimation of the FMRI hemodynamic response function in AR(1) noise | 0 | 0.34 | 2015 |
| Multi-subject fMRI connectivity analysis using sparse dictionary learning and multiset canonical correlation analysis | 3 | 0.38 | 2015 |
| Estimation of high-dimensional brain connectivity from FMRI data using factor modeling | 2 | 0.39 | 2014 |
| Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition | 3 | 0.40 | 2014 |
| Estimation of hemodynamic response functions for un-delineated overlapping rois in fMRI data based on sparse dictionary learning | 3 | 0.42 | 2013 |
| Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis | 12 | 0.72 | 2013 |
| Adaptive 2DCCA Based Approach for Improving Spatial Specificity of Activation Detection in Functional MRI | 3 | 0.46 | 2012 |
| A Kullback-Leibler divergence approach for wavelet-based blind image deconvolution. | 3 | 0.39 | 2012 |
| Identification of directed influence: Granger causality, Kullback-Leibler divergence, and complexity. | 18 | 1.31 | 2012 |
| HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative Minimization of the Kullback–Leibler Divergence | 21 | 1.30 | 2012 |
| A Kullback-Leibler Methodology for Unconditional ML DOA Estimation in Unknown Nonuniform Noise | 9 | 0.66 | 2011 |
| Feature selection using mutual information in CT colonography | 1 | 0.36 | 2011 |
| Asymptotic bootstrap corrections of AIC for linear regression models | 5 | 0.51 | 2010 |
| Efficient feature selection for polyp detection | 0 | 0.34 | 2010 |
| Model selection criteria for image restoration. | 18 | 0.94 | 2009 |
| Mean Shape Models for Polyp Detection in CT Colonography | 3 | 0.38 | 2008 |
| Polyp Detection In Ct Colonography Based On Shape Characteristics And Kullback-Leibler Divergence | 3 | 0.47 | 2008 |
| Bayesian estimation of the number of principal components | 6 | 0.68 | 2007 |
| Local Convergence Properties of Fastica and Some Generalisations | 1 | 0.46 | 2006 |
| Multivariate regression model selection from small samples using Kullback's symmetric divergence | 6 | 0.90 | 2006 |
| A note on overfitting properties of KIC and KICc | 0 | 0.34 | 2006 |
| A model selection approach to signal denoising using Kullback's symmetric divergence | 3 | 0.53 | 2006 |
| A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence | 8 | 1.05 | 2005 |
| Regularizing the effect of input noise injection in feedforward neural networks training | 3 | 0.42 | 2004 |
| A small sample model selection criterion based on Kullback's symmetric divergence | 24 | 2.36 | 2003 |
