Today, due to the increasing demand for more and more complex applications in the consumer electronic market segment, Systems-on-Chip consist of many processing elements and becom...
Sahar Foroutan, Yvain Thonnart, Richard Hersemeule...
Basket Analysis is mathematically characterized and extended to search families of sets in this paper. These theories indicate the possibility of various new approaches of data mi...
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
A performance analysis of the authentication method proposed by J. Fridrich and M. Goljan is carried out. This method has the particular feature that both the embedder and the det...
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...