In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
In this paper we apply the ideas of algebraic topology to the analysis of the finite volume and finite element methods, illuminating the similarity between the discretization str...
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
The proliferation of the Internet has a ected the business model of almost all semiconductor and VLSI CAD companies that rely on intellectual property (IP) as their main source of...
Darko Kirovski, David T. Liu, Jennifer L. Wong, Mi...
Although research in data integration has become one of the main issues in [6], geographic data integration is still a laborious and complicated problem, even for specialists. Geo...