Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
As device size shrinks to the nanometer range, FPGAs are increasingly prone to manufacturing defects. We anticipate that the ability to tolerate multiple defects will be very impo...
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Abstract--The information propagation speed (IPS) of a network specifies how fast the information can be transmitted in a network. In this paper, we derive an IPS upper bound in co...
The stability of low-rank matrix reconstruction is investigated in this paper. The -constrained minimal singular value ( -CMSV) of the measurement operator is shown to determine t...