Latent Images

Latent Images

Author: Jan Uhde

Publisher: Nordic Inst of Asian Studies

Published: 2010

Total Pages: 365

ISBN-13: 9789971694739

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Updated with new illustrations, presents comprehenive examination of Singapore's film landscape.


Latent Images

Latent Images

Author: Michael R. Carter

Publisher: Createspace Independent Publishing Platform

Published: 2018-01-31

Total Pages: 128

ISBN-13: 9781984944825

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Latent Images is a collection of thoughts gathered during the year 2017, recorded in the order originally penned by hand in various journals.


Joana Hadjithomas, Khalil Joreige

Joana Hadjithomas, Khalil Joreige

Author: Joana Hadjithomas

Publisher: Jrp Ringier

Published: 2013

Total Pages: 0

ISBN-13: 9783037642405

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The Lebanese video artists, documentarians and photographers Joana Hadjithomas and Khalil Joreige have been a duo since the 1990s, making works that address the turbulent history of their homeland. This monograph surveys the duo's projects, including their most recent series of installations and research on the now defunct Lebanese space exploration program.


Geometry Driven Statistics

Geometry Driven Statistics

Author: Ian L. Dryden

Publisher: John Wiley & Sons

Published: 2015-07-22

Total Pages: 432

ISBN-13: 1118866614

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A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia's long and influential career in statistics. A common theme unifying much of Mardia’s work is the importance of geometry in statistics, and to highlight the areas emphasized in his research this book brings together 16 contributions from high-profile researchers in the field. Geometry Driven Statistics covers a wide range of application areas including directional data, shape analysis, spatial data, climate science, fingerprints, image analysis, computer vision and bioinformatics. The book will appeal to statisticians and others with an interest in data motivated by geometric considerations. Summarizing the state of the art, examining some new developments and presenting a vision for the future, Geometry Driven Statistics will enable the reader to broaden knowledge of important research areas in statistics and gain a new appreciation of the work and influence of Kanti V. Mardia.