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» Object Recognition from Local Scale-Invariant Features
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147
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ICPR
2008
IEEE
16 years 4 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
148
Voted
CVPR
2006
IEEE
16 years 5 months ago
A Projective Invariant for Textures
Image texture analysis has received a lot of attention in the past years. Researchers have developed many texture signatures based on texture measurements, for the purpose of uniq...
Cornelia Fermüller, Hui Ji, Yong Xu
152
Voted
BMCBI
2006
127views more  BMCBI 2006»
15 years 3 months ago
Using local gene expression similarities to discover regulatory binding site modules
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
ROCAI
2004
Springer
15 years 8 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
BMCBI
2008
170views more  BMCBI 2008»
15 years 3 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini