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dhis2-chap/minimalist_example

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...
IEEE

A Framework for Compressed Weighted Nonnegative Matrix Factorization

Abstract: In this paper we propose a novel framework that successfully combines random projection or compression to weighted Nonnegative Matrix Factorization (NMF). Indeed a large body of NMF research ...
IEEE

An Innovative Low-Rank Sparse Matrix Decomposition Clutter Suppression Method Based on Non-Convex Alternatives for Pseudo-Random-Coded Ground-Penetrating Radar

Abstract: This article analyzes the composition and characteristics of echo signals in a pseudorandom-coded ground-penetrating radar (GPR). Based on these characteristics, an innovative low-rank ...
GitHub

Non-overlapping Lempel–Ziv–Storer–Szymanski factorization

High-performance Python library for text factorization using compressed suffix trees. The library provides efficient algorithms for finding non-overlapping factors in text data, with both in-memory ...