There are 2 repositories under gaussian-kernel topic.
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
A novel architectural design for stitching video streams in real-time on an FPGA.
Evaluation of few methods to apply Gaussian Blur on an Image.
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
Statistical pattern recognition course projects from shiraz university.
Implementation of Kernel-Density-Estimation (KDE) with Matlab
We use support vector machines (SVMs) with various example 2D datasets. Experimenting with these datasets will help us gain an intuition of how SVMs work and how to use a Gaussian kernel with SVMs. In the next half of the exercise, we use support vector machines to build a spam classifier.
PyTorch implementation of important functions for WAIL and GMMIL
Primal-Dual algorithm for smooth regularization of non-smooth optimization functions
Fraud detection over twitter feed data
Classification of a radially seperated dataset using SVM with RBF kernel using CVXOPT
classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching
Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.
My first attempt with building a SVM model, and optimizing the cost and gamma parameters using the Gaussian Kernel grid search method.
Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold
Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models
Solving the Character recognition problem as an SVM optimization problem using CVXOPT
Implementation of the algorithm from "Fast training of Support Vector Machines with Gaussian kernel" (Fischetti, 2016)
SVM with Gaussian kernel implementation for spam classification problem using numpy
Gaussian blur base R implementation using Kernel convolutions
This repository contains Materials for Non-Parametric Inference
Computer Vision projects using python
Gaussian Kernel in NVIDIA CUDA
a model that predicts some binary target based on two features using Gaussian kernel
It is based on support vector machines ,first we used linear kernel for lesser featured dataset, Gaussian kernel for more complex dataset.
A nonlinear classifier for categorizing shoes using machine learning