A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
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Updated
Apr 22, 2024 - Jupyter Notebook
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
Gaussian blur base R implementation using Kernel convolutions
Primal-Dual algorithm for smooth regularization of non-smooth optimization functions
Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
A nonlinear classifier for categorizing shoes using machine learning
Classification of a radially seperated dataset using SVM with RBF kernel using CVXOPT
Evaluation of few methods to apply Gaussian Blur on an Image.
Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold
PyTorch implementation of important functions for WAIL and GMMIL
A novel architectural design for stitching video streams in real-time on an FPGA.
Implementation of Kernel-Density-Estimation (KDE) with Matlab
Statistical pattern recognition course projects from shiraz university.
a model that predicts some binary target based on two features using Gaussian kernel
Fast Incremental Support Vector Data Description implemented in Python
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)
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