Recently we have proposed a structural framework for modelling speech, which is based on patterns of phonological distinctive features, a linguistically well-motivated alternative to standard vector-space acoustic models like HMMs. This framework gives considerable representational freedom by working with features that have explicit linguistic interpretation, but at the expense of the ability t...

Number is one of the most fundamental concepts not only in mathematics, but in general natural science as well. It may be primary even in comparison with such global categories as time, space, substance, matter, and field. That is why editing the first issue of the journal " Hypercomlex numbers in geometry and physics " the editorial board sincerely hopes that articles not only on numbers in ge...

In many pattern recognition applications object structure is essential for the discrimination purpose. In such cases researchers often use recognition schemes based on template matching which lead to the design of non-Euclidean dissimilarity measures. A vector space derived from the embedding of the dissimilarities is desirable in order to use general classifiers. An isometric embedding of the ...