We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Abstract. We present a Bayesian translational model for matching patterns in data sets which have neither co-occurring samples nor variables, but only a similar experiment design d...
Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, ...
Near-term spoken language systems willlikely be limited in their interactive capabilities. To design them, we shall need to model how the presence or absence of speaker interactio...
— We present a novel way of modeling wheeled vehicles on outdoor terrains. Adapting concepts from dextrous manipulation, we precisely model the way that three dimensional wheels ...
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...
J. Umakant, K. Sudhakar, P. M. Mujumdar, C. Raghav...