Design pattern is a reusable module to improve the problem and defines solution among all those methods techniques & algorithms to choose the best one then applies for our requirement. When designing a system or end product usually need to control how an object is used and prevent users from making copies of it or creating new instances. Design pattern are used in object oriented programming la...

The primate visual system learns to recognize the true direction of pattern motion using local detectors only capable of detecting the component of motion perpendicular to the orientation of the moving edge. A multilayer feedforward network model similar to Linsker's model was presented with input patterns each consisting of randomly oriented contours moving in a particular direction. Input lay...

Pattern-based tree classifiers are capable of producing high quality results, however, they are prone to the problem of the default class overuse. In this paper, we propose a measure designed to address this issue, called partial tree-edit distance (PTED), which allows for assessing the degree of containment of one tree in another. Furthermore, we propose an algorithm which calculates the measu...

The use of histogram data is ubiquitous within the sciences and histograms composed of linear combinations of sub-processes are common. The statistical properties of recorded frequencies are well understood, i.e. Poisson statistics can model the probabilities of observing discrete events, from which an in-depth theoretical analysis of histogram components and their errors can be derived. Despit...

In recent years, the influence of design patterns on software quality has attracted an increasing attention in the area of software engineering, as design patterns encapsulate valuable knowledge to resolve design problems, and more importantly to improve design quality. As the paradigm continues to increase in popularity, a systematic and objective approach to verify the design of a pattern is ...

Fuzzy pattern matching technique represents a group of fuzzy methods for supervised fuzzy pattern recognition. It has a number of advantages over other pattern recognition methods, including simpler methods of attribute selection or ability to learn in real time environments. These methods build a prototype for each attribute and combine the partial estimations of each prototype by a fusion ope...

We study a new variant of the string matching problem called cross-document string matching, which is the problem of indexing a collection of documents to support an efficient search for a pattern in a selected document, where the pattern itself is a substring of another document. Several variants of this problem are considered, and efficient linear-space solutions are proposed with query time ...

Overview The structure of these patterns is similar to the one introduced by Andreas Rueping [6] . The problem section formulates an issue as a question. The forces are the considerations that lead to the solution. The solution answers the question of the problem section. In the discussion section, some examples are presented or drawbacks of the solution are discussed. Some of the patterns have...