High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications

Comprehensive exploration of high-dimensional data analysis, covering real-world applications in medical imaging, computer vision, and more. Valuable resource for researchers and practitioners.

Introduction

High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications by John Wright and Yi Ma.

Highlights

• Covers a variety of real-world applications including medical and scientific imaging, computer vision, wideband spectrum sensing
• Explains the mathematical ideas powering algorithms in these fields
• Discusses the algorithmic ideas needed to implement these techniques

Recommendation

This book provides a comprehensive and insightful exploration of high-dimensional data analysis, making it a valuable resource for researchers and practitioners in mathematics, computer science, engineering, and the life sciences.