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» The Construction and Acquisition of Visual Categories
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SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
15 years 3 months ago
Effective features of algorithm visualizations
Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations ...
Purvi Saraiya, Clifford A. Shaffer, D. Scott McCri...
ISMAR
2007
IEEE
15 years 3 months ago
Visually Elegant and Robust Semi-Fiducials for Geometric Registration in Mixed Reality
This paper describes a novel image-based geometric registration method using visually elegant and robust semi-fiducial markers in mixed reality (MR). Most traditional visual marke...
Ryuhei Tenmoku, Yusuke Yoshida, Fumihisa Shibata, ...
VISUALIZATION
2000
IEEE
15 years 2 months ago
Visualizing volume data using physical models
Visualization techniques enable scientists to interactively explore 3D data sets, segmenting and cutting them to reveal inner structure. While powerful, these techniques suffer fr...
David R. Nadeau, Michael J. Bailey
CIKM
2010
Springer
14 years 8 months ago
Visual cube and on-line analytical processing of images
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bo...
IWPSE
2007
IEEE
15 years 3 months ago
Structural analysis and visualization of C++ code evolution using syntax trees
We present a method to detect and visualize evolution patterns in C++ source code. Our method consists of three steps. First, we extract an annotated syntax tree (AST) from each v...
Fanny Chevalier, David Auber, Alexandru Telea