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A key problem (or challenge) within smart spaces is indoor localization: making estimates of users’ whereabouts. Without such information, systems are unable to react on the presence of users or, sometimes even more important, their absence. This can range from simply turning the lights on when someone enters a room...

Lately we looked at GPy using some simple examples. Now we’ll dive deeper and look more closely to the inner workings of models. We’ll start with the basics and continue further by decomposing the Guassian Process Latent Variable model (GPLVM). Note: This post is fairly specific to GPy and the...

A random process, a collection of random variables, is said to be a Gaussian process (GP)1 if any finite number of these variables have a joint Gaussian distribution; i.e. the relation between variables follows a Gaussian distribution, this says something about the smoothness of functions generated by these processes. Guassian...

My internship and thesis revolves around WSNs: Wireless Sensor Networks. To get some more insights in the workings of these networks and I built a small simulator in Python. The full source can be found on the SLACTest1 repository on GitHub. The setup of the simulation is simple: a fixed...

Hello, this is the first article of this blog! There is nothing more to see here than the following, mandatory, statement: Hello, World!