Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
This work describes an algebraic based design strategy targeting area optimization in reconfigurable computer technology (FPGA). Area optimization is a major issue as smaller comp...
Gabriel Marchesan Almeida, Eduardo Augusto Bezerra...
Interactive animation systems often use a level-of-detail (LOD) control to reduce the computational cost by eliminating unperceivable details of the scene. Most methods employ a m...
Clinical pathways translate evidence-based recommendations into locally practicable, process-specific algorithms that reduce practice variations and optimize quality of care. Our ...
We present conditions which guarantee that a composition of marker cellular automata has the same neighbourhood as each of the individual components. We show that, under certain te...