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IV
2010
IEEE
150views Visualization» more  IV 2010»
15 years 3 months ago
A 3D Visualization Technique for Large Scale Time-Varying Data
We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, i...
Maiko Imoto, Takayuki Itoh
EUROPAR
2005
Springer
15 years 10 months ago
Modeling Machine Availability in Enterprise and Wide-Area Distributed Computing Environments
In this paper, we consider the problem of modeling machine availability in enterprise-area and wide-area distributed computing settings. Using availability data gathered from three...
Daniel Nurmi, John Brevik, Richard Wolski
ICASSP
2010
IEEE
15 years 4 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
IVS
2007
110views more  IVS 2007»
15 years 4 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
116
Voted
CSDA
2007
101views more  CSDA 2007»
15 years 4 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...