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» Testing from Formal Specifications, a Generic Approach
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138
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ICCV
2003
IEEE
16 years 5 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
127
Voted
FM
2003
Springer
146views Formal Methods» more  FM 2003»
15 years 8 months ago
Interacting State Machines for Mobility
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...
Thomas A. Kuhn, David von Oheimb
ENTCS
2006
130views more  ENTCS 2006»
15 years 3 months ago
LSC Verification for UML Models with Unbounded Creation and Destruction
The approaches to automatic formal verification of UML models known up to now require a finite bound on the number of objects existing at each point in time. In [4] we have observ...
Bernd Westphal
108
Voted
COLT
2007
Springer
15 years 9 months ago
Occam's Hammer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
Gilles Blanchard, François Fleuret
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 4 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli