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CVPR
2005
IEEE
15 years 11 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
ICPR
2004
IEEE
15 years 10 months ago
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...
Daniel Keysers, Hermann Ney, Thomas Deselaers
QEST
2008
IEEE
15 years 4 months ago
Quantitative Model-Checking of One-Clock Timed Automata under Probabilistic Semantics
In [3] a probabilistic semantics for timed automata has been defined in order to rule out unlikely (sequences of) events. The qualitative model-checking problem for LTL propertie...
Nathalie Bertrand, Patricia Bouyer, Thomas Brihaye...
FORMATS
2007
Springer
15 years 3 months ago
Quantitative Model Checking Revisited: Neither Decidable Nor Approximable
Abstract. Quantitative model checking computes the probability values of a given property quantifying over all possible schedulers. It turns out that maximum and minimum probabilit...
Sergio Giro, Pedro R. D'Argenio
CCS
2009
ACM
15 years 4 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft