Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Investopedia

Data Smoothing: Definition, Uses, and Methods

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...
IEEE

A High-Speed, Multi-Channel Lossless Compression Algorithm for High-Resolution Video on FPGA

Department of Physics, Zhejiang Key Laboratory of Quantum State Control and Optical Field Manipulation, Zhejiang Sci-Tech University, Hangzhou, China Xingkai Du received the bachelor’s degree in ...
IEEE

Identifying Important Data Transformations for Synthesizing Effective Lossless Compressors

Abstract: Efficient data compression is essential in high-performance computing, particularly when managing large-scale datasets. Lossless compression algorithms generally incorporate multiple stages, ...