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» Feature selection through gravitational search algorithm
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IROS
2006
IEEE
104views Robotics» more  IROS 2006»
15 years 3 months ago
Landmark Selection for Task-Oriented Navigation
—Many vision-based navigation systems are restricted to the use of only a limited number of landmarks when computing the camera pose. This limitation is due to the overhead of de...
Ronen Lerner, Ehud Rivlin, Ilan Shimshoni
WEBI
2005
Springer
15 years 3 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
DCOSS
2011
Springer
13 years 9 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
CEC
2009
IEEE
15 years 4 months ago
Evolving novel image features using Genetic Programming-based image transforms
— In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of greyscale images. The motivation is to allow an evolutionary algorithm means of tr...
Taras Kowaliw, Wolfgang Banzhaf, Nawwaf N. Kharma,...
ICTAI
2007
IEEE
15 years 3 months ago
On Portfolios for Backtracking Search in the Presence of Deadlines
Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that portfolios of backtracking algorith...
Huayue Wu, Peter van Beek