For an adequate analysis of pathological speech signals, a sizeable number of parameters is required, such as those related to jitter, shimmer and noise content. Often this kind of high-dimensional signal representation ...

A summary table is a tabular representation of summary data, and is a useful data structure for statistical databases. Primitive summary tables are basic building blocks of summary tables, and can be represented as relations ...

A summary table IS a tabular representation of summary data, and is a useful data structure for statistical databases Priventive summary tables are basic building blocks of summmy tables, and can be represented as relations ...

With the advent of interactive techniques for multidimensional data visualization using dimensionality reduction, new possibilities of dealing with data complexity were introduced. The idea behind those methods is to allow ...

High Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome ...

Abstract. In pattern recognition, supervised classifiers assign a class to unseen objects or prototypes. For classifying new prototypes a training set is used which provides information to the classifiers during the training ...

Most multidimensional projection techniques rely on distance (dissimilarity) information between data instances to embed high-dimensional data into a visual space. When data are endowed with Cartesian coordinates, an extra ...