This is the page for the book Digital Signal Processing with Kernel Methods.
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Updated
Jun 22, 2017 - MATLAB
This is the page for the book Digital Signal Processing with Kernel Methods.
Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems
AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.
Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification
MATLAB implementation of SCCA-HSIC
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Kernel Methods Toolbox for Matlab/Octave
Finite-Sample Integral Gaussian Processes
Enitor provides the MATLAB implementation of several large-scale kernel methods.
Code for our paper: "Adaptive Geo-Topological Independence Criterion".
Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.
Implementation of the paper "Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels"
Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020
A Matlab benchmarking toolbox for kernel adaptive filtering
Implementations of gradKCCA
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