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» Multifield Visualization Using Local Statistical Complexity
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ICPR
2008
IEEE
15 years 11 months ago
Semi-supervised learning on large complex simulations
Complex simulations can generate very large amounts of data stored disjointly across many local disks. Learning from this data can be problematic due to the difficulty of obtainin...
John Nicholas Korecki, Kevin W. Bowyer, Larry O. H...
SIGOPS
2010
162views more  SIGOPS 2010»
14 years 8 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
88
Voted
APIN
2002
90views more  APIN 2002»
14 years 9 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
TIP
1998
109views more  TIP 1998»
14 years 9 months ago
Optimum design of chamfer distance transforms
—The distance transform has found many applications in image analysis. Chamfer distance transforms are a class of discrete algorithms that offer a good approximation to the desir...
Muhammad Akmal Butt, Petros Maragos
100
Voted
GI
2009
Springer
14 years 7 months ago
A web service based approach for integrating statistics tools into an information system for experiment data
: Data management in the life sciences has evolved from simple storage of data to complex information systems providing additional functionalities like analysis and visualization c...
Dennis Heimann, Jens Nieschulze, Birgitta Kön...