Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
In this paper we present a framework for computing depth images at interactive rates. Our approach is based on combining time-of-flight (TOF) range data with stereo vision. We use ...
Virtual machines (VM) are promising as system software in sensor networks. A major impediment to their widespread acceptance is their performance overhead. Compiling VM bytecode to...
Joel Koshy, Ingwar Wirjawan, Raju Pandey, Yann Ram...
The paper describes the MOLA Tool, which supports the model transformation language MOLA. MOLA Tool consists of two parts: MOLA definition environment and MOLA execution environme...
With reference to an object type defining the two basic operations, read and write, we present solutions to the object sharing problem, classified according to the migration and/o...