Pixelization Theory.- Pixelization Paradigm: Outline of a Formal Approach.- Scalable Pixel Based Visual Data Exploration.- High Dimensional Visual Data Classification.- Using Biclustering for Automatic Attribute Selection to Enhance Global Visualization.- Pixelisation-Based Statistical Visualisation for Categorical Datasets with Spreadsheet Software.- Dynamic Display of Turnaround Time Via Interactive 2D Images.- Pixelizing Data Cubes: A Block-Based Approach.- Leveraging Layout with Dimensional Stacking and Pixelization to Facilitate Feature Discovery and Directed Queries.- Online Data Visualization of Multidimensional Databases Using the Hilbert Space–Filling Curve.- Pixel-Based Visualization and Density-Based Tabular Model.- Pixelization Applications.- A Geometrical Approach to Multiresolution Management in the Fusion of Digital Images.- Analysis and Visualization of Images Overlapping: Automated Versus Expert Anatomical Mapping in Deep Brain Stimulation Targeting.- A Computational Method for Viewing Molecular Interactions in Docking.- A Graphical Tool for Monitoring the Usage of Modules in Course Management Systems.- Visu and Xtms: Point Process Visualisation and Analysis Tools.- Visualizing Time-Course and Efficacy of In-Vivo Measurements of Uterine EMG Signals in Sheep.- From Endoscopic Imaging and Knowledge to Semantic Formal Images.- Multiscale Scatterplot Matrix for Visual and Interactive Exploration of Metabonomic Data.- ICD-View: A Technique and Tool to Make the Morbidity Transparent.- Pixelization and Cognition.- Time Frequency Representation for Complex Analysis of the Multidimensionality Problem of Cognitive Task.- Instant Pattern Filtering and Discrimination in a Multilayer Network with Gaussian Distribution of the Connections.- AC3 – Automatic Cartography of Cultural Contents.- Evaluation of the Mavigator.
Pixelization Paradigm: Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006, Revised Selected Papers / Edition 1by Pierre P Levy, Benedicte Le Grand, Francois Poulet, Michel Soto, Laszlo Darago
Pub. Date: 03/22/2007
Publisher: Springer Berlin Heidelberg
This book constitutes the thoroughly refereed post-proceedings of the Visual Information Expert Workshop, VIEW 2006, held in Paris, France, in April 2006. The 23 revised full papers were carefully selected from numerous submissions during two rounds of reviewing and improvement. The book is categorized in three main parts: pixelization theory, pixelization
This book constitutes the thoroughly refereed post-proceedings of the Visual Information Expert Workshop, VIEW 2006, held in Paris, France, in April 2006. The 23 revised full papers were carefully selected from numerous submissions during two rounds of reviewing and improvement. The book is categorized in three main parts: pixelization theory, pixelization applications, pixelization and cognition.
- Springer Berlin Heidelberg
- Publication date:
- Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics Series , #4370
- Edition description:
- Product dimensions:
- 6.10(w) x 9.25(h) x (d)
Table of Contents
Most Helpful Customer Reviews
See all customer reviews