Computational Intelligence and Neuroscience

Parametric and Nonparametric EEG Analysis for the Evaluation of EEG Activity in Young Children with Controlled Epilepsy

Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems

Advances in Nonnegative Matrix and Tensor Factorization

A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks

Pattern Expression Nonnegative Matrix Factorization: Algorithm and Applications to Blind Source Separation

Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation

Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition

Robust Object Recognition under Partial Occlusions Using NMF

Theorems on Positive Data: On the Uniqueness of NMF

Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session

Probabilistic Latent Variable Models as Nonnegative Factorizations

Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm

Nonnegative Matrix Factorization with Gaussian Process Priors

Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2008

Parametric and Nonparametric EEG Analysis for the Evaluation of EEG Activity in Young Children with Controlled Epilepsy

Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems

Advances in Nonnegative Matrix and Tensor Factorization

A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks

Pattern Expression Nonnegative Matrix Factorization: Algorithm and Applications to Blind Source Separation

Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation

Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition

Robust Object Recognition under Partial Occlusions Using NMF

Theorems on Positive Data: On the Uniqueness of NMF

Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session

Probabilistic Latent Variable Models as Nonnegative Factorizations

Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm

Nonnegative Matrix Factorization with Gaussian Process Priors

Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature