This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
In this paper, we develop a formal framework to widen the scope of retargetable compilation. The goal is achieved by the unification of architectural models for both the processor...
We present a framework for representing the trajectories of moving objects and the time-varying results of operations on moving objects. This framework supports the realization of ...
Ludger Becker, Henrik Blunck, Klaus Hinrichs, Jan ...
This is a framework for resource allocation in a heterogeneous system composed of various access networks, for instance Third Generation wireless networks (3G) and WLAN, in the pre...
: We extend the Bayesian framework to Multi-Layer Perceptron models of Non-linear Auto-Regressive time-series. The approach is evaluated on an artificial time-series and some commo...
Michel Crucianu, Crucianu Uhry, Jean Pierre Asseli...