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149
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APVIS
2010
15 years 6 months ago
GMap: Visualizing graphs and clusters as maps
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
VIS
2009
IEEE
409views Visualization» more  VIS 2009»
16 years 6 months ago
Depth-Dependent Halos: Illustrative Rendering of Dense Line Data
We present a technique for the illustrative rendering of 3D line data at interactive frame rates. We create depth-dependent halos around lines to emphasize tight line bundles while...
Maarten H. Everts, Henk Bekker, Jos B.T.M. Roerd...
3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
15 years 8 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
AVI
1996
15 years 6 months ago
Table lens as a tool for making sense of data
The Table Lens is a visualization for searching for patterns and outliers in multivariate datasets. It supports a lightweight form of exploratory data analysis (EDA) by integratin...
Peter Pirolli, Ramana Rao
119
Voted
ALMOB
2007
73views more  ALMOB 2007»
15 years 5 months ago
GOGOT: a method for the identification of differentially expressed fragments from cDNA-AFLP data
Background: One-dimensional (1-D) electrophoretic data obtained using the cDNA-AFLP method have attracted great interest for the identification of differentially expressed transcr...
Koji Kadota, Ryoko Araki, Yuji Nakai, Masumi Abe