We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in [9]. The model is based on multiscale stochastic trees with ...
Ilya Pollak, Jeffrey Mark Siskind, Mary P. Harper,...
In many scientific domains, experimental devices or simulation programs generate large volumes of data. The volumes of data may reach hundreds of terabytes and therefore it is imp...
Arie Shoshani, Luis M. Bernardo, Henrik Nordberg, ...
We propose a method for generating all possible rules of multidimension Boolean cellular automata (CA). Based on an original encoding method and the programming of graphical proce...
In this paper, a novel method for simultaneously registering multiple images acquired from different imaging modalities is presented. The optimal alignment is computed as the set ...