156 citations · 950 across the 61 of their papers we have counts for
3 papers · 2 filters
Probabilistic map-matching using particle filters
Kira Kempinska, Toby Davies, John Shawe-Taylor
Increasing availability of vehicle GPS data has created potentially transformative opportunities for traffic management, route planning and other location-based services. Critical…
Improved Particle Filters for Vehicle Localisation
Kira Kempinska, John Shawe-Taylor
The ability to track a moving vehicle is of crucial importance in numerous applications. The task has often been approached by the importance sampling technique of particle filters…
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata +2
We introduce the localized Lasso, which is suited for learning models that are both interpretable and have a high predictive power in problems with high dimensionality and smal…