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 ...
IEEE

Antinoise Bearing Fault Diagnosis Using Time-Reassigned Multisynchrosqueezing Transform and Complex Sparse Learning Dictionary

Abstract: Bearings are core components of rotating machinery, and their operating status monitoring and fault diagnosis are crucial for equipment health management. Accurately identifying fault ...
Psychology Today

What Is Memory?

Memory is the faculty by which the brain encodes, stores, and retrieves information. It is a record of experience that guides future action. Memory encompasses the facts and experiential details that ...
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 ...
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 ...