The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least-squares problem. Basis pursuit denoise (BPDN) fits the least-squares problem only approximat...
We consider a new model for computing with uncertainty. It is desired to compute a function fX1; : : : ; Xn where X1; : : : ; Xn are unknown, but guaranteed to lie in speci ed i...
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
—Current implementations of real-time collaborative applications rely on a dedicated infrastructure to carry out all synchronizing and communication functions, and require all en...
Krzysztof Rzadca, Jackson Tan Teck Yong, Anwitaman...
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...