hemical abstract machine Shinya Sato Himeji Dokkyo University, Faculty of Econoinformatics, 7-2-1 Kamiohno, Himeji-shi, Hyogo 670-8524, Japan Ian Mackie LIX, CNRS UMR 7161, ´Ecole...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
We present a new particle-based approach to sampling and controlling implicit surfaces. A simple constraint locks a set of particles onto a surface while the particles and the sur...
: Spatial data types or algebras for database systems should (i) be fully general (which means, closed under set operations, hence e.g. a region value can be a set of polygons with...
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...