In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Abstract— Target shape design optimization problem (TSDOP) is a miniature model for real world design optimization problems. It is proposed as a test bed to design and analyze op...
Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Th...
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
A linear wirelength objective more e ectively captures timing, congestion, and other global placement considerations than a squared wirelength objective. The GORDIAN-L cell placem...
Charles J. Alpert, Tony F. Chan, Dennis J.-H. Huan...
Non-rigid structure from motion (NR-SFM) is a difficult, underconstrained problem in computer vision. This paper proposes a new algorithm that revises the standard matrix factori...