Bøger af Pramod K. Varshney

The book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs robust strategies to ensure reliable performance for several practical network architectures.

The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines.

This book provides an introductory treatment of the fundamentals of decision-making in a distributed framework. Conventional detection theory has been extended so that it can deal with such distributed detection problems. Distributed detection under different formulations and for a variety of detection network topologies is discussed.