In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
We consider wireless multihop data networks with random multi-access mechanisms at the MAC layer. In general, our aim is to study the performance as perceived by users in a dynamic...
In this paper we present a repeater block planning algorithm for interconnect-centric floorplanning. We introduce the concept of independent feasible regions for repeaters and der...
—We present a new technique for statistical static timing analysis (SSTA) based on Markov chain Monte Carlo (MCMC), that allows fast and accurate estimation of the right-hand tai...
Yashodhan Kanoria, Subhasish Mitra, Andrea Montana...