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189
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DAGM
2006
Springer
15 years 10 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
196
Voted
ECAI
2006
Springer
15 years 10 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
FGR
2006
IEEE
162views Biometrics» more  FGR 2006»
15 years 10 months ago
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 10 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
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