A Matlab benchmarking toolbox for kernel adaptive filtering

Kernel Methods Toolbox for Matlab/Octave

This is the page for the book Digital Signal Processing with Kernel Methods.

implementation of a Deep Kernelized Auto Encoder for learning vectorial representations of mutlivariate time series with missing data.

Implementations of gradKCCA

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.

AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.

Enitor provides the MATLAB implementation of several large-scale kernel methods.

Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems

MATLAB implementation of SCCA-HSIC

Finite-Sample Integral Gaussian Processes

Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification

Implementation of the paper "Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels"

Code for our paper: "Adaptive Geo-Topological Independence Criterion".

Kernel Perceptron (Matlab)

Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020