Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
In this work we propose a novel rigid image registration approach to determine the position of high-resolution molecular structures in medium-resolution macromolecular complexes. ...
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...
Improving logic capacity by time-sharing, dynamically reconfigurable FPGAs are employed to handle designs of high complexity and functionality. In this paper, we model each task ...
In this paper, we present novel algorithms that effectively combine physical layout and early logic synthesis to improve overall design quality. In addition, we employ partitionin...