Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
Emergence of successful teleoperation applications requires the convergence of diverse domains like robotics, machine learning, sensing, actuation, control and communication. We e...
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...
We present a method to enable multi-touch interactions on an arbitrary flat surface using a pair of cameras mounted above the surface. Current systems in this domain mostly make ...