The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers

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The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers

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Exploring the heterogeneous morphometric data in essential tremor with probabilistic modelling

Optimal denoising of rotationally invariant rectangular matrices

Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions

SPHARMA approximations for stationary functional time series on the sphere

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts

Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits

Graph Laplacian Mixture Model

Wasserstein Distributionally Robust Learning

Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation

CP-CHARM: Segmentation-Free Image Classification Made Accessible

Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction

Learning with tensors: a framework based on convex optimization and spectral regularization

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles

Impulse Radio Ultra-Wideband Ranging Algorithm under Multi User Environments

Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection