The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Typical mobile robots can be customized to perform a variety of different tasks by combining in different ways a set of basic control modules, or behaviors. By contrast, most cu...
Abstract. The transition from traditional paper libraries to digital libraries enables new strategies for the use and maintenance of artifact collections. Distributed software deve...
In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...