We present a synthesis technique that can automatically generate stroke patterns based on a user-specified reference pattern. Our method is an extension of texture synthesis techniques to vector-based patterns. Such an extension requires (a) an analysis of the pattern properties to extract meaningful pattern elements (defined as clusters of strokes) and (b) a synthesis algorithm based on simila...

This paper contains a new convergence analysis for the Lewis and Torczon GPS class of pattern search methods for linearly constrained optimization. The analysis is motivated by the desire to understand the behavior of the algorithm under hypotheses more consistent with properties satisfied in practice for a class of problems, discussed at various points in the paper, for which these methods are...

Abstract. This paper addresses the problem of recurring fulfilments in a complex system of obligations. It recommends decoupling an obligation from a party and generating prescriptions from the obligation at regular time points. The prescription generated in this way holds all necessary data and fulfilments are assigned to it. In this way obligations and their fulfilments can be checked easily ...

Patterns are an effective way to express solutions to constantly occurring problems in software engineering. Books like Erich Gamma’s Design Patterns ([Gam94]) or Martin Fowler’s Analysis Pattern ([Fow96]) helped to develop a common understanding of problem solving in this field. The pattern catalog developed by members of the chair Software Engineering for Business Information Systems (sebis) ...

Web services composition is an emerging paradigm for enabling application integration within and across organisational boundaries. A landscape of languages and techniques for web services composition has emerged and is continuously being enriched with new proposals from different vendors and coalitions. However, little or no effort has been dedicated to systematically evaluating the capabilitie...

Multivariate pattern analysis (MVPA) is an increasingly popular method of analyzing functional magnetic resonance imaging (fMRI) data(1-4). Typically, the method is used to identify a subject's perceptual experience from neural activity in certain regions of the brain. For instance, it has been employed to predict the orientation of visual gratings a subject perceives from activity in early vis...

rich family of ‘pattern analysis’ algorithms, whose best known element is the Support Vector Machine very general task: given a set of data (any form, not necessarily vectors), find patterns (= any relations). (Examples of relations: classifications, regressions, principal directions, correlations, clusters, rankings, etc....) (Examples of data: gene expression; protein sequences; heterogeneous...

In this work we review the basic principles of stochastic logic and propose its application to probabilistic-based pattern-recognition analysis. The proposed technique is intrinsically a parallel comparison of input data to various pre-stored categories using Bayesian techniques. We design smart pulse-based stochastic-logic blocks to provide an efficient pattern recognition analysis. The propos...

In this chapter an extensive review of algorithmic methods that automatically detect patterns in dermoscopic images of pigmented lesions is presented. Pattern Analysis seeks to identify specific patterns, which may be global and local. It is the method most commonly used for providing diagnostic accuracy for cutaneous melanoma. In this chapter, a description of global and local patterns identif...