Table 2 Summary of commonly used notation and symbols in this paper

c

Samples in set C

n

Number of samples in C

F(c)

N-dimensional (texture) feature vector

\(\mathcal {F}\)

Set of all feature vectors

l(c)

Class label of sample c

ω₊₁,ω₋₁

Classes associated with l(c)=1,l(c)=0

h ^β

Classifier, β∈{QDA,SVM,Bay,DT}

\(h^{\beta }_{t}\)

Component classifier within h^Bag,β,h^Boost,β

h ^{Bag, β}

Bagged classifier

h ^{Boost, β}

Boosted classifier