High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications Wright John
High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications Wright John Connecting theory with practice, this systematic and rigorous introduction covers the…
Specifikacia High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications Wright John
High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications Wright John
Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations.
With code available online, this is an ideal textbook for senior and graduate students in electrical engineering, Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification.
Data Analysis and Approximate Models
Real Analysis and Applications