IEEE

Double sparse dictionary learning for image super resolution

Abstract: This paper presents a novel double sparse dictionary learning method for the image upscaling which aim is to recover a high resolution image based on a given low resolution input. The ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
IEEE

Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes

Abstract: Seismic data (traces) usually demonstrate high correlation. We propose a scheme based on online dictionary learning, which explores the resemblance among local seismic traces to facilitate ...
Investopedia

What Is Options Trading? A Beginner's Overview

Learn the benefits and risks of options and how to start trading options Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Samantha (Sam) Silberstein, CFP®, CSLP®, ...
GitHub

Reinforcement Learning in LLM Tutorial (Python)

Here I show you reinforcement learning (RL) examples to train (fine-tune) language models (LM). All these examples are implemented from scratch (manually) in a step-by-step manner (*1), and also shows ...
Frontiers

Assessment of phylogenetic informativeness in mitochondrial and nuclear genes for mammalian systematics using sparse learning

Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil In this work, we used this Lasso approach to conduct a large-scale analysis of phylogenetic informativeness across ...
GitHub

Projectile Point Image Classifier (Beginner Tutorial)

This tutorial will guide you through building a machine learning classifier for North American projectile points using Python and TensorFlow, all inside Google Colab. By the end, you will have a fully ...