We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding...
In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an a...
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to...
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lte...
To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+...
