With the advancements in science and technology, datasets become larger more multivariate, which warrants need for programming tools fast data processing multivariate statistical analysis. Here, the...

u(t−1) u(t−2) y(t−1) y(t−2) y(t) This note contains important information on how the present toolbox is to be installed and the conditions under which it may be used. Please read it carefully before use. The note should be sufficient for being able to make the essential portion of the toolbox functions work properly. However, to enhance performance a number of functions have been rewritten in C...

Seit 1998 werden am Forschungszentrum Karlsruhe Algorithmen zur Klassifikation entwickelt und in einer Vielzahl von medizinischen und technischen Anwendungen eingesetzt. Während dieser Zeit entstand die MATLAB-Toolbox KAFKA (KArlsruher FuzzyModellbildungs-, Klassifikationsund datengestützte Analyse-Toolbox) für die interne Nutzung. Es handelte sich von der Zielrichtung her in erster Linie um ei...

The term "functional connectivity" is used to denote correlations in activation among spatially-distinct brain regions, either in a resting state or when processing external stimuli. Functional connectivity has been extensively evaluated with several functional neuroimaging methods, particularly PET and fMRI. Yet these relationships have been quantified using very different measures and the ext...

This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help u...

In an era where accumulating data is easy and storing it inexpensive, feature selection plays a central role in helping to reduce the high-dimensionality of huge amounts of otherwise meaningless data. This report overviews concepts and algorithms of feature selection, surveys existing feature selection algorithms for classification with a categorizing framework based on the complexity: filter, ...