Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
TAPAS is a suite of libraries dedicated to FO (R, Z, +, ≤). The suite provides (1) the application programming interface GENEPI for this logic with encapsulations of many classic...
— This paper presents inverse position kinematics algorithms with real time capability for Justin, a robotic system with high redundancy and many degrees of freedom. The combinat...
— This paper presents a fast analytical method for estimating the throughput of pipelined asynchronous systems, and then applies that method to develop a fast solution to the pro...
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...