Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Modeling and simulation tools have been used for helping in the early stages of hardware/software systems design. The DEVS formalism is a technique that enables hierarchical descr...
—In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein’s amino acids and whose edges are the interactions between...
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...