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» Error Thresholds in Genetic Algorithms
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ICIP
2009
IEEE
13 years 5 months ago
Genetic algorithms for 3d reconstruction with supershapes
Supershape model is a recent primitive that represents numerous 3D shapes with several symmetry axes. The main interest of this model is its capability to reconstruct more complex...
Sophie Voisin, Mongi A. Abidi, Sebti Foufou, Fr&ea...
SIGMOD
2002
ACM
134views Database» more  SIGMOD 2002»
14 years 7 months ago
Wavelet synopses with error guarantees
Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
Minos N. Garofalakis, Phillip B. Gibbons
CPM
2008
Springer
148views Combinatorics» more  CPM 2008»
13 years 9 months ago
On-Line Approximate String Matching with Bounded Errors
We introduce a new dimension to the widely studied on-line approximate string matching problem, by introducing an error threshold parameter so that the algorithm is allowed to mis...
Marcos A. Kiwi, Gonzalo Navarro, Claudio Telha
EMMCVPR
1997
Springer
13 years 11 months ago
Genetic Algorithms for Ambiguous Labelling Problems
Consistent labelling problems frequently have more than one solution. Most work in the "eld has aimed at disambiguating early in the interpretation process, using only local ...
Richard Myers, Edwin R. Hancock
CSDA
2008
126views more  CSDA 2008»
13 years 7 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...