This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
Computing and storing probabilities is a hard problem as soon as one has to deal with complex distributions over multiples random variables. The problem of efficient representati...
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
A set of principles (based on Gestalt theory) governing how we group notes into meaningful groups has been widely accepted in the literature. Based on these principles, many diver...
In this paper we introduce a novel graphical image representation comprising a single curve—the one-liner. The first step involves the detection and linking of image edges. We ...
Vadim Makhervaks, Gill Barequet, Alfred M. Bruckst...