Editorial Board
Brain decoding: Opportunities and challenges for pattern recognition
Clustered sampling improves random subspace brain mapping
A supervised clustering approach for fMRI-based inference of brain states
De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data
Decoding visual brain states from fMRI using an ensemble of classifiers
Bayesian hypothesis testing for pattern discrimination in brain decoding
Model sparsity and brain pattern interpretation of classification models in neuroimaging
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data
Decoding stimulus-related information from single-trial EEG responses based on voltage topographies
Brain computer interface control via functional connectivity dynamics
Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs
The generalization of the R-transform for invariant pattern representation
Image deblurring with matrix regression and gradient evolution
Remote sensing image segmentation by active queries
Content-based image quality metric using similarity measure of moment vectors
A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices
Generalized Adjusted Rand Indices for cluster ensembles
Simultaneous clustering and classification over cluster structure representation
Graph dual regularization non-negative matrix factorization for co-clustering
Determining the number of clusters using information entropy for mixed data
An online AUC formulation for binary classification
Confidence bands for least squares support vector machine classifiers: A regression approach
On hybrid classification using model assisted posterior estimates
Least squares recursive projection twin support vector machine for classification
Optimal mean-square-error calibration of classifier error estimators under Bayesian models
A hybrid discretization method for naïve Bayesian classifiers
Prediction of facial attractiveness from facial proportions
Facing scalability: Naming faces in an online social network
CABALA—Collaborative architectures based on biometric adaptable layers and activities
Shape matching using a binary search tree structure of weak classifiers
BLasso for object categorization and retrieval: Towards interpretable visual models
Robust visual tracking with structured sparse representation appearance model
Sorted random projections for robust rotation-invariant texture classification
AdOtsu: An adaptive and parameterless generalization of Otsu's method for document image binarization
A supervised non-linear dimensionality reduction approach for manifold learning
