In this paper, the problem of estimating the damping factor and frequency parameters from multiple cisoids in noise is addressed. We rst propose a data matrix which generalizes th...
—As smart home technologies continue to be deployed in research and real world environments, there continues to be a need for quality visualization of the smart home data. This d...
We investigate full-scale shortest-derivation parsing (SDP), wherein the parser selects an analysis built from the fewest number of training fragments. Shortest derivation parsing...
In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exp...
Horesh Ben Shitrit, Jerome Berclaz, Francois Fleur...
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...