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 ...

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This is the official repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024. In this work, we describe a novel encoder-decoder framework for ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Learning something new can feel overwhelming, especially when it comes to programming. Maybe you’ve always wanted to dip your toes into coding but felt intimidated by the jargon or unsure where to ...

ABSTRACT: In an era marked by rapid technological advancement, the fusion of Artificial Intelligence (AI), Machine Learning (ML), and Distributed Ledger Technology (DLT), commonly referred to as ...

Abstract: Sparse dictionary learning on face recognition focuses on representing a face linearly by a set of atoms from the dictionary. How to learn a dictionary is a key issue to sparse ...