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» Algorithm Visualization in Teaching Spatial Data Algorithms
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104
Voted
APGV
2010
ACM
227views Visualization» more  APGV 2010»
15 years 6 months ago
Measuring the perception of light inconsistencies
In this paper we explore the ability of the human visual system to detect inconsistencies in the illumination of objects in images. We specifically focus on objects being lit fro...
Jorge Lopez-Moreno, Veronica Sundstedt, Francisco ...
109
Voted
BMCBI
2005
122views more  BMCBI 2005»
15 years 2 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
130
Voted
COMPGEOM
2001
ACM
15 years 6 months ago
Computational geometry for sculpture
This presentation illustrates examples of my geometric sculpture and outlines certain design techniques. I apply methods from the field of computational geometry to the creation o...
George W. Hart
102
Voted
KDD
1998
ACM
113views Data Mining» more  KDD 1998»
15 years 6 months ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
139
Voted
ICCV
2007
IEEE
16 years 4 months ago
DynamicBoost: Boosting Time Series Generated by Dynamical Systems
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
René Vidal, Paolo Favaro