Detecting abnormalities in video is a challenging problem since the class of all irregular objects and behaviors is infinite and thus no (or by far not enough) abnormal training sa...
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
Modern real-time embedded systems are complex, distributed, feature-rich applications. Model-based development of real-time embedded systems promises to simplify and accelerate the...
Madhukar Anand, Sebastian Fischmeister, Jesung Kim...