This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Abstract. In this paper we use colored Petri nets (CPNs) and the supporting CPN Tools for the modeling and performance analysis of grid architectures. The notation of Petri nets is...
Nikola Trcka, Wil M. P. van der Aalst, Carmen Brat...
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Simulations involving processes at very different time scales can be so slow to converge that starting in one state and waiting for a representative sample of the state space to b...