A Support Vector Data Description Committee for Face Detection
Figure 3
(a) shows that the 100 face patterns in the 2D PCA-based subspace are partitioned into three clusters. Face data sets in the three clusters are used to train three independent SVDDs, and the results are displayed in (b) (SVDD for cluster 1), (c) (SVDD for cluster 2), and (d) (SVDD for cluster 3) subfigures, respectively.
