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Robust visual tracking for long video sequences is a research area that has many important applications. The main challenges include how the target image can be modeled and how this model can be updat...
In this paper, we investigate the problem of non-myopic (multi-step ahead) quantizer design for target tracking using a wireless sensor network. Adopting the alternative conditional posterior Cramer-R...
This document details the construction of a model for tracking a position and velocity state from GPS observations, with the intention of efficient, parallel online learning of state-dependent paramet...
The tracking of pupils by ability into elite and nonelite schools represents a controversial policy in many countries. There is no consensus on how large the elite track should be and little agreement...
By exploiting an extensive pilot scheme that preceded an educational reform, this paper evaluates the effects of introducing a more comprehensive upper secondary school system in Sweden. The reform re...
Vocal tract resonance characteristics in acoustic speech signals are classically tracked using frame-by-frame point estimates of formant frequencies followed by candidate selection and smoothing using...
In Germany, students are streamed at age ten into an academic or non-academic track. We demonstrate that the randomly allocated disadvantage of being born just before as opposed to just after the cuto...
Overall, the project found that the information in the Training Information Monitoring System can be used to track the working status of trained providers. Data generated from the project are being sh...
The control process that minimizes the quadratic performance functional associated with a quantum system whose evolution is described by a Hudson-Parthasarathy type stochastic differential equation...
The usefulness of persistent excitation is well-known in the control community. Thanks to a persistently excited adaptive tracking control, we show that it is possible to avoid the strong controllab...
A novel quickest detection setting is proposed which is a generalization of the well-known Bayesian changepoint detection model. Suppose {(Xi, Yi)}i1 is a sequence of pairs of random variables, and t...
This paper defines and implements a non-Bayesian fusion rule for combining densities of probabilities estimated by local (non-linear) filters for tracking a moving target by passive sensors. This r...

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