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» Abstract and Discrete Modeling of Spatio-Temporal Data Types
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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 2 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
FATES
2004
Springer
13 years 11 months ago
Test Generation Based on Symbolic Specifications
Abstract. Classical state-oriented testing approaches are based on simple machine models such as Labelled Transition Systems (LTSs), in which data is represented by concrete values...
Lars Frantzen, Jan Tretmans, Tim A. C. Willemse
ACIVS
2005
Springer
14 years 1 months ago
A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
Jan Sijbers, Arnold Jan den Dekker, Robert Bos
SPIN
1999
Springer
13 years 11 months ago
Embedding a Dialect of SDL in PROMELA
Abstract. We describe a translation from a dialect of SDL-88 to PROMELA, the input language of the SPIN model checker. The fairly straightforward translation covers data types as w...
Heikki Tuominen
VIS
2008
IEEE
114views Visualization» more  VIS 2008»
14 years 8 months ago
Continuous Scatterplots
Abstract--Scatterplots are well established means of visualizing discrete data values with two data variables as a collection of discrete points. We aim at generalizing the concept...
Sven Bachthaler, Daniel Weiskopf