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ACCV
2007
Springer
15 years 8 months ago
Coarse-to-Fine Statistical Shape Model by Bayesian Inference
In this paper, we take a predefined geometry shape as a constraint for accurate shape alignment. A shape model is divided in two parts: fixed shape and active shape. The fixed shap...
Ran He, Stan Z. Li, Zhen Lei, ShengCai Liao
121
Voted
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 9 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
111
Voted
BMVC
2002
15 years 5 months ago
Orientation Correlation
A new method of translational image registration is presented: orientation correlation. The method is fast, exhaustive, statistically robust, and illumination invariant. No existi...
A. J. Fitch, Alexander Kadyrov, William J. Christm...
155
Voted
TNN
2008
97views more  TNN 2008»
15 years 2 months ago
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
Liefeng Bo, Ling Wang, Licheng Jiao
JMLR
2010
152views more  JMLR 2010»
14 years 9 months ago
Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua V. Dillon, Guy Lebanon