— This paper focuses on time-optimal path tracking, which involves planning of robot motions along prescribed geometric paths. Starting from a discretized convex reformulation of...
Diederik Verscheure, Moritz Diehl, Joris De Schutt...
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
We consider the setting of a device that obtains it energy from a battery and some regenerative source such as a solar cell. We consider the speed scaling problem of scheduling a c...
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Abstract. Let C be a polygonal cycle on n vertices in the plane. A randomized algorithm is presented which computes in O(n log3 n) expected time, the edge of C whose removal result...
Hee-Kap Ahn, Mohammad Farshi, Christian Knauer, Mi...