Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
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Updated
Jul 31, 2023 - Python
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
A novel architectural design for stitching video streams in real-time on an FPGA.
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
Fast Incremental Support Vector Data Description implemented in Python
Evaluation of few methods to apply Gaussian Blur on an Image.
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching
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.
Statistical pattern recognition course projects from shiraz university.
Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold
Implementation of Kernel-Density-Estimation (KDE) with Matlab
Implementation of the algorithm from "Fast training of Support Vector Machines with Gaussian kernel" (Fischetti, 2016)
A nonlinear classifier for categorizing shoes using machine learning
Computer Vision projects using python
Gaussian blur base R implementation using Kernel convolutions
This repository contains Materials for Non-Parametric Inference
It is based on support vector machines ,first we used linear kernel for lesser featured dataset, Gaussian kernel for more complex dataset.
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