This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
This paper presents a first prototype of an interactive 3D reconstruction system for modeling urban scenes. An Augmented Reality scout is a person who is equipped with an ultra-m...
Bernhard Reitinger, Christopher Zach, Dieter Schma...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
A great deal of effort has gone into developing open-ended inquiry activities for science education as well as complex computer tools for accessing scientific data to help student...
Ben Loh, Josh Radinsky, Eric Russell, Louis M. Gom...