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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
AADEBUG
1995
Springer
15 years 10 months ago
Software Testability Measurement for Assertion Placement and Fault Localization
Software testability, the tendency for software to reveal its faults during testing, is an important issue for veri cation and quality assurance. Testability measurement can also b...
Jeffrey M. Voas
APN
1995
Springer
15 years 10 months ago
Modular State Space Analysis of Coloured Petri Nets
State Space Analysis is one of the most developed analysis methods for Petri Nets. The main problem of state space analysis is the size of the state spaces. Several ways to reduce ...
Søren Christensen, Laure Petrucci
SMILE
2000
Springer
15 years 10 months ago
Augmented Reality Using Uncalibrated Video Sequences
Abstract. Augmented Reality(AR) aims at merging the real and the virtual in order to enrich a real environment with virtual information. Augmentations range from simple text annota...
Kurt Cornelis, Marc Pollefeys, Maarten Vergauwen, ...
GIS
1995
ACM
15 years 10 months ago
Collaborative Spatial Decision Making with Qualitative Constraints
: Usually spatial planning problems involve a large number of decision makers with different backgrounds and interests. The process of Collaborative Spatial Decision Making (CSDM)...
Nikos I. Karacapilidis, Dimitris Papadias, Max J. ...
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