Beyond KernelBoost

28 Jul 2014 Roberto Rigamonti Vincent Lepetit Pascal Fua

In this Technical Report we propose a set of improvements with respect to the KernelBoost classifier presented in [Becker et al., MICCAI 2013]. We start with a scheme inspired by Auto-Context, but that is suitable in situations where the lack of large training sets poses a potential problem of overfitting... (read more)

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