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» Evaluating learning algorithms and classifiers
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87
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PLDI
2012
ACM
13 years 3 months ago
Automated error diagnosis using abductive inference
When program verification tools fail to verify a program, either the program is buggy or the report is a false alarm. In this situation, the burden is on the user to manually cla...
Isil Dillig, Thomas Dillig, Alex Aiken
86
Voted
ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
15 years 6 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
TITS
2008
262views more  TITS 2008»
15 years 16 days ago
Robust Lane Detection and Tracking in Challenging Scenarios
A lane-detection system is an important component of many intelligent transportation systems. We present a robust lane-detection-and-tracking algorithm to deal with challenging sce...
ZuWhan Kim
100
Voted
SEMWEB
2010
Springer
14 years 10 months ago
Optimising Ontology Classification
Abstract. Ontology classification--the computation of subsumption hierarchies for classes and properties--is one of the most important tasks for OWL reasoners. Based on the algorit...
Birte Glimm, Ian Horrocks, Boris Motik, Giorgos St...
DICTA
2003
15 years 2 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao