Abstract Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps...
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
The e cient support of data tra c over ATM networks requires congestion control, whose objectives include maximizing throughput, minimizing switch bu er requirement, and attaining...
We give tight bounds on the parallel complexity of some problems involving random graphs. Speci cally, we show that a Hamiltonian cycle, a breadth rst spanning tree, and a maximal...
Network services for finding a feasible or an optimal path subject to multiple constraints on performance metrics such as delay, jitter, loss probability, etc. give rise to multip...