In many graph-based semi-supervised learning algorithms, edge weights are assumed to be fixed and determined by the data points' (often symmetric) relationships in input space...
In this paper, we present a technique for reducing the overhead of collecting path profiles in the context of a dynamic optimizer. The key idea to our approach, called Targeted Pa...
Abstract We study optimal pricing in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertaint...
In this research, an architecture that performs both forward and inverse lifting-based discrete wavelet transform is proposed. The proposed architecture reduces the hardware requi...
Double-Gate (DG) transistor has emerged as the most promising device for nano-scale circuit design. Independent control of front and back gate in DG devices can be effectively use...