This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation ...
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in tex...
In this paper, a method for inferring 3D structure information based on both range and visual data is proposed. Data fusion is achieved by validating assumptions formed according ...
Haris Baltzakis, Antonis A. Argyros, Panos E. Trah...
Abstract. Thoughts are spatio-temporal patterns of coalitions of firing neurons and their interconnections. Neural algebras represent these patterns as formal algebraic objects, a...
The comparison of protein structures is an important problem in Bioinformatics, and Soft Computing techniques were recently introduced for achieving a better representation and po...