This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

Another important pillar for understanding the internal processing of AI and deep learning is linear algebra. Linear algebra is a branch of mathematics that treats large amounts of data by abstracting ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

Created with R2024a. Compatible with R2024a and later releases. You can use this live script as demonstrations in lectures, class activities, or interactive assignments outside class. Applied Linear ...

Abstract: This book contains the key linear algebra and optimization techniques at the forefront of active data-science and machine learning practice today. This is an appropriate choice of content ...

Dept. of Computer Science and Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA. Natural language processing (NLP) applications are ubiquitous now, perhaps the most prolific of ...