Visualization

PUBLISHED


Viewing: 1 - 10 of 16
Published:
October 22, 2014
Author(s):
Tingbo Hou, Hong Qin
From Design Methods and Generation Schemes to State-of-the-Art ApplicationsWavelets are powerful tools for functional analysis and geometry processing, enabling researchers to determine the structure of data and analyze 3D shapes. Suitable for researchers in computer graphics, computer vision, 
Published:
September 19, 2014
Author(s):
Guillaume Damiand, Pascal Lienhardt
A Versatile Framework for Handling Subdivided Geometric Objects Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing gathers important ideas related to combinatorial maps and explains how the maps are applied in geometric modeling and image processing. It focuses 
Published:
September 18, 2014
Author(s):
Alexandru C. Telea
This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between 
Published:
May 06, 2014
Editor(s):
Paul G. Kry, Andrea Bunt
This book is the proceedings of the 40th annual Graphics Interface conference—the oldest continuously scheduled conference in the field. The book includes high-quality papers on recent advances in interactive systems, human computer interaction, and graphics from around the world. It covers the 
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 

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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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