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Compressive Imaging: Structure, Sampling, Learning
Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging – including compressed sensing, wavelets and optimization – in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.
African Rhino
The black and the white rhinoceros have become flagship species for international conservation. They are significant not only for the continuation of a major evolutionary heritage, but also as symbols for the protection of African savannahs. The battle for the survival of these species has been marked by some notable successes and sadly, many failures, and the situation is still critical. The international horn trade ban and the domestic bans imposed in most traditional user states have driven the trade further underground, in some cases inflating prices and making illegal dealing even more lucrative.This Plan is aimed at donors, government and non-government organizations, and all those involved in rhino conservation. It outlines the actions and strategies needed to catalyse support for these majestic animals, and help secure their future in sub-Saharan Africa. The overall conclusion is that, given the political will, stability and adequate field expenditure, rhinos can be conserved in the wild.
The Midsummer Classic
Examines the history of All-Star baseball, providing play-by-plays, rosters, and box scores of each game; and discusses how All-Star games have been influenced by racial integration, expansion teams, and the designated hitter.
Numerical Analysis meets Machine Learning
Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Numerical Analysis series Updated release includes the latest information on the Numerical Analysis Meets Machine Learning
The Starship Logs Volume 3
Volume 3 of the Starship Logs. Theme is festivals.
From Darius I to Philip II
The topic of inquiry is a political, military, and economic study of classical Greece from 500 to 336 BC. The book begins with the reign of Darius I of Persia and ends with the reign of Philip II of Macedon. It encompasses the Greek world from Asia Minor to Sicily and Italy. The primary emphasis is on the Greek world around the Aegean Sea and Macedonia.The book's central theme is the story of the various poleis that inhabit the Greek world. In this history of the classical age, y
The Spell Books Volume 2
Volume 2 of The Spell Books anthologies. Theme is Creatures.
High-Dimensional Optimization and Probability
This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society. The discussion presents modern, state-of-the-art, research results and advances in areas including non-convex optimization, decentralized distributed convex optimization, topics on surrogate-based reduced dimension global optimization in process systems engineering, the projection of a point onto a convex set, optimal sampling for learning sparse approximations in high dimensions, the split feasibility problem, higher order em...
