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» Measuring Learning Object Reuse
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ECCV
2010
Springer
15 years 10 months ago
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
153
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ISSTA
2004
ACM
15 years 10 months ago
Evolutionary testing of classes
Object oriented programming promotes reuse of classes in multiple contexts. Thus, a class is designed and implemented with several usage scenarios in mind, some of which possibly ...
Paolo Tonella
ICCV
1995
IEEE
15 years 8 months ago
Fast Object Recognition in Noisy Images Using Simulated Annealing
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
Margrit Betke, Nicholas C. Makris
ICML
2007
IEEE
16 years 5 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
ECML
2007
Springer
15 years 10 months ago
Decision Tree Instability and Active Learning
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
Kenneth Dwyer, Robert Holte