This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...
This paper is devoted to piecewise-constant segmentation of images using a curve evolution approach in a variational formulation. The problem to be solved is also called the minima...
Abstract— In this paper, we propose exact and heuristic algorithms for minimizing the memory size for heterogeneous Multivalued Decision Diagrams (MDDs). In a heterogeneous MDD, ...
Multivoltage scheduling (MVS) for datapaths offers the energy savings of voltage scaling on a per-operation basis with a voltage aware operator scheduling. This work investigates...
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...