Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
In modern software systems, programs are obtained by dynamically assembling components. This has made it necessary to subject component providers to access-control restrictions. W...
Emmanuel Geay, Marco Pistoia, Takaaki Tateishi, Ba...
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
— We report on a 9-axis inertial measurement unit (IMU) which utilizes 3-axis angular velocity measurements from rate gyros and 6-axis linear acceleration measurements from three...