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Administrative Subdivisions of Countries
In marked contrast to the United States, with its territorial stability, some countries, such as Bulgaria and Ethiopia, reorganize their regional subdivisions frequently. This large-format reference work simplifies the comparison of decades’ worth of data from such countries: “With this book in hand, one can answer any administrative subdivision question about any state or province in the world from 1900 through 1998”—Abstracts of Public Administration, Development and Environment. For each country there is at least one table, and usually several. Histories of subdivision changes and lists of alternate names for subdivisions in each country add to the work’s research value. All relevant national and international standards such as ISO and FIPS codes are listed, as well as time zones, populations, areas and capitals for each subdivision. There is a comprehensive index of names.
Algorithmic Advances in Riemannian Geometry and Applications
This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, when the data is intrinsically non-Euclidean, the utilization of this geometrical information can lead to better algorithms that can capture more accurately the structures inherent in the data, leading ultimately to better empirical performance. This book is not intended to be an encyclopedic compil...
Covariances in Computer Vision and Machine Learning
Covariance matrices play important roles in many areas of mathematics, statistics, and machine learning, as well as their applications. In computer vision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical applications. In this book, we begin by presenting an overview of the {\it finite-dimensional covariance matrix} representation approach of images, along with its statistical interpretation. In particular, we discuss the various distances and divergences that arise from the intrinsic geometrical structures of the set of Symmetric Positive Definite (SPD) matrices, namely Riemannian manifold and convex cone struct...
The 1997 CIA World Factbook
DigiCat Publishing presents to you this special edition of "The 1997 CIA World Factbook" by United States. Central Intelligence Agency. DigiCat Publishing considers every written word to be a legacy of humankind. Every DigiCat book has been carefully reproduced for republishing in a new modern format. The books are available in print, as well as ebooks. DigiCat hopes you will treat this work with the acknowledgment and passion it deserves as a classic of world literature.
U.S. Marines in Vietnam
This book was donated as a part of the David H. Hugel Collection, an archival collection of the Special Collections & Archives, University of Baltimore.
World and Its Peoples
Most of what is known about the outside world remains superficial and stereotypical. World and Its Peoples: Eastern and Southern Asia brings a long, rich story to light about ethnic groups, the impact of terrain and natural resources, and the influence of history. This unique reference work maps out how the nations of the modern world became what they are today through photographs of the geography and people of foreign lands, through discussion of ancient and contemporary works of art and events, and through scores of maps detailing geographical features, historic and modern places, natural habitats, rainfall, locations of ethnic and linguistic groups, natural resources, and centers of industry and transportation. No single resource assembles such comprehensive insight into the world and the people who live in it.
Covariances in Computer Vision and Machine Learning
Covariance matrices play important roles in many areas of mathematics, statistics, and machine learning, as well as their applications. In computer vision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical applications. In this book, we begin by presenting an overview of the {\it finite-dimensional covariance matrix} representation approach of images, along with its statistical interpretation. In particular, we discuss the various distances and divergences that arise from the intrinsic geometrical structures of the set of Symmetric Positive Definite (SPD) matrices, namely Riemannian manifold and convex cone struct...
Information Geometry and Its Applications
The book gathers contributions from the fourth conference on Information Geometry and its Applications, which was held on June 12–17, 2016, at Liblice Castle, Czech Republic on the occasion of Shun-ichi Amari’s 80th birthday and was organized by the Czech Academy of Sciences’ Institute of Information Theory and Automation. The conference received valuable financial support from the Max Planck Institute for Mathematics in the Sciences (Information Theory of Cognitive Systems Group), Czech Academy of Sciences’ Institute of Information Theory and Automation, and Università degli Studi di Roma Tor Vergata. The aim of the conference was to highlight recent advances in the field of information geometry and to identify new research directions. To this end, the event brought together leading experts in the field who, in invited talks and poster sessions, discussed both theoretical work and achievements in the many fields of application in which information geometry plays an essential role.
Simulated Evolution and Learning
This volume constitutes the proceedings of the 9th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Hanoi, Vietnam, in December 2012. The 50 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on evolutionary algorithms, theoretical developments, swarm intelligence, data mining, learning methodologies, and real-world applications.
The Price of War
With due emphasis on the experience of Hanoi and Ho Chi Minh City (Saigon), the authors present an account of what happened to the towns and cities of Vietnam between the establishment of Ho Chi Minh's socialist state in 1954 and the mid 1980s.
