IEEE

A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling

Abstract: We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficiently and ...
GitHub

A production-ready implementation of score-based generative models with proper score matching and Langevin dynamics sampling.

Score-based generative models learn the gradient (score) of the data distribution and generate samples by iteratively refining random noise using Langevin dynamics. This approach offers several ...
GitHub

Minimal Implementation of Scalable Rectified Flow Transformers

Left is the naive RF, right is the logit-normal time-sampling RF. Both are trained on MNIST. This repository contains a minimal implementation of the rectified flow models. I've taken SD3 approach of ...
IEEE

Fast sub-sampling block matching algorithm employing adaptively assigned sizes and locations of search windows

Abstract: To significantly reduce the number of block-matching (BM) processes for motion vector estimation (ME), we have developed a fast sub-sampling block matching (FSBM) algorithm for H.264. FSBM ...
Investopedia

Sampling: What It Is, Different Types, and How Auditors and Marketers Use It

Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...