In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...
Abstract— This work presents an infrastructure that simplifies the development of distributed applications that can adapt automatically to nonfunctional properties of their comp...
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...