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FGCS
2006
113views more  FGCS 2006»
14 years 12 months ago
Performance feature identification by comparative trace analysis
This work introduces a method for instrumenting applications, producing execution traces, and visualizing multiple trace instances to identify performance features. The approach p...
Daniel P. Spooner, Darren J. Kerbyson
CGF
2010
161views more  CGF 2010»
15 years 9 hour ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
CVPR
2010
IEEE
15 years 8 months ago
Efficiently Selecting Regions for Scene Understanding
Recent advances in scene understanding and related tasks have highlighted the importance of using regions to reason about high-level scene structure. Typically, the regions are ...
M. Pawan Kumar, Daphne Koller
ECCV
2010
Springer
15 years 2 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
SP
2008
IEEE
140views Security Privacy» more  SP 2008»
14 years 11 months ago
Knowledge support and automation for performance analysis with PerfExplorer 2.0
The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experime...
Kevin A. Huck, Allen D. Malony, Sameer Shende, Ala...