Visualization

PUBLISHED


Viewing: 1 - 10 of 13
Published:
November 05, 2013
Editor(s):
R.M. Natal Jorge, J.C. Reis Campos, Joao Manuel R.S. Tavares, Mario A.P. Vaz, Sónia M. Santos
Dentistry is a branch of medicine with its own peculiarities and very diverse areas of action, which means that it can be considered as an interdisciplinary field. BIODENTAL ENGINEERING II contains the full papers presented at the 2nd International Conference on Biodental Engineering (BioDENTAL 
Published:
October 01, 2013
Editor(s):
Joao Manuel RS Tavares, Jorge R.M. Natal
Computational Vision and Medical Image Processing. VIPIMAGE 2013 contains invited lectures and full papers presented at VIPIMAGE 2013 - IV ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Funchal, Madeira Island, Portugal, 14-16 October 2013). International 
Published:
June 12, 2012
Author(s):
Andrew Woo, Pierre Poulin
Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow 
Published:
June 02, 2011
Author(s):
William Thompson, Roland Fleming, Sarah Creem-Regehr, Jeanine Kelly Stefanucci
This book provides an introduction to human visual perception suitable for readers studying or working in the fields of computer graphics and visualization, cognitive science, and visual neuroscience. It focuses on how computer graphics images are generated, rather than solely on the organization 
Published:
June 14, 2010
Author(s):
Matthew O. Ward, Georges Grinstein, Daniel Keim
Visualization is the process of representing data, information, and knowledge in a visual form to support the tasks of exploration, confirmation, presentation, and understanding. This book is designed as a textbook for students, researchers, analysts, professionals, and designers of visualization 
Published:
October 21, 2008
Author(s):
Gerald Farin, Dianne Hansford
This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory 
Published:
May 30, 2008
Author(s):
T. Theoharis, Georgios Papaioannou, Nikolaos Platis, Nicholas M. Patrikalakis
This book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers. What sets this book apart from other computer graphics texts is the integrated coverage of computer graphics and visualization topics, including important 
Published:
December 04, 2007
Author(s):
Alexandru C. Telea
The goal of data visualization is to use images to improve our understanding of a dataset, drawing on techniques from mathematics, computer science, cognitive and perception science, and physics. In this introductory text, the author provides a compact introduction to the field that allows readers 
Published:
July 20, 2007
Editor(s):
Ken Museth, Torsten Möller, Anders Ynnerman
This well-balanced collection is focused on the visual presentation of complex data. Areas of visualization covered include: • Medical visualization • Flow visualization • Multi-variate visualization and rendering • GPU techniques • Graph visualization • Text and document visualization • 
Published:
July 20, 2007
Author(s):
This collection demonstrates that parallel and interactive graphics and visualization continue to be very active research areas. Issues such as visualizing large data sets and high quality rendering of dynamic models pose many new challenges yet to be solved that continue to push the frontiers and 

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Data Mining "Nobel Prize" Awarded to Series Editor Vipin Kumar

The ACM SIGKDD 2012 Innovation Award, the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD), has been awarded to Prof. Vipin Kumar for his technical contributions to foundational research in data mining and its applications to mining scientific and climate data. Prof. Kumar is the editor of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. He has pioneered research in the areas of high performance and parallel data mining. His research group has also been at the forefront in the development of data-driven discovery methods for analyzing global climate and ecosystem data.

 

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