7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
We show that the graph isomorphism problem is hard under DLOGTIME uniform AC0 many-one reductions for the complexity classes NL, PL (probabilistic logarithmic space) for every loga...
We have proposed (, )-based flow regulation to reduce delay and backlog bounds in SoC architectures, where bounds the traffic burstiness and the traffic rate. The regulation is co...
Fahimeh Jafari, Zhonghai Lu, Axel Jantsch, Mohamma...
This paper presents a linear time algorithm to reduce a large RC interconnect network into subnetworks which are approximated with lower order equivalent RC circuits. The number o...