Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
We describe an environment to produce traces representing significant workloads for a shared-bus shared-memory multiprocessor used as a general-purpose multitasking machine, wher...
Roberto Giorgi, Cosimo Antonio Prete, Gianpaolo Pr...
Do unsophisticated consumers fall prey to Internet consumer frauds? Why? To answer these questions this paper integrates two streams of empirical research: the process-oriented th...