We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
A key problem for effective unit testing is the difficulty of partitioning large software systems into appropriate units that can be tested in isolation. We present an approach th...
Emerging embedded System-on-Chip (SoC) platforms are increasingly becoming multiprocessor architectures. The advances in the FPGA chip technology make the implementation of such a...
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...