A Matlab benchmarking toolbox for kernel adaptive filtering
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Updated
May 5, 2023 - MATLAB
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.
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Implementations of gradKCCA
Enitor provides the MATLAB implementation of several large-scale kernel methods.
AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.
Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems
Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.
MATLAB implementation of SCCA-HSIC
Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification
Finite-Sample Integral Gaussian Processes
Implementation of the paper "Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels"
Code for our paper: "Adaptive Geo-Topological Independence Criterion".
Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020
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