linkedin github instagram envelope-o home-outline menu

Latest blog updates

Every wine drinker (or someone who offers wine to others) will experience this situation at least once: you have leftover (red) wine. What to do with it? For the sake of the argument, disregard the option of just drinking it for now! Of course you can turn wine in to...

Making crème brûlée can be a joy, not only because of the end result, but also because of the whole process: from making the custard to creating a nice caramel crust. Unfortunately, it can be difficult to make and there is a large risk of overcooking when making this dessert...

Some time a go I started a personal quest: finding the perfect chocolate mousse. While I haven’t found the perfect recipe yet, I’ve decided to document my (numerous) attempts as part of a series. While many of you will know the traditional way of making chocolate mousse (cream, chocolate, egg...

If you have heard about iBeacons or indoor localization before, then you have probably also heard about RSSI: the Received Signal Strength Indicator. The RSSI value resembles the power of a received radio signal (measured in dBm). The higher the RSSI value, the higher the signal strength. The rationale behind...

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...