gaussian-kernel

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Evaluation of few methods to apply Gaussian Blur on an Image.

Fast Incremental Support Vector Data Description implemented in Python

A novel architectural design for stitching video streams in real-time on an FPGA.

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

PyTorch implementation of important functions for WAIL and GMMIL

classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching

Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold

Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.

Fraud detection over twitter feed data

Gaussian Kernel in NVIDIA CUDA

Computer Vision projects using python

SVM with Gaussian kernel implementation for spam classification problem using numpy

It is based on support vector machines ,first we used linear kernel for lesser featured dataset, Gaussian kernel for more complex dataset.

This repository contains Materials for Non-Parametric Inference

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.

Implementation of the algorithm from "Fast training of Support Vector Machines with Gaussian kernel" (Fischetti, 2016)

Solving the Character recognition problem as an SVM optimization problem using CVXOPT

a model that predicts some binary target based on two features using Gaussian kernel