While frequent pattern mining is fundamental for many data mining tasks, mining maximal frequent patterns efficiently is important in both theory and applications of frequent pattern mining. The fundamental challenge is ...

In this paper, we propose a novel approach for palmprint identification, which contains two interesting components. Firstly, we propose the directional representation for appearance based approaches. The new representation ...

Improving the computation efficiency is the key issue in image processing, especially in edge detection, because edge detection is very computationally intensive. With the development of real-time image processing ...

Parallel Robots are playing a very important role in the medical, automotive, food and many manufacturing applications. Due to its high speed and efficient operation, it is gaining an increasing popularity in these application ...

Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA) are the two popular techniques in the context of dimensionality reduction and classification. By extracting discriminant features, LDA is optimal ...

Improving Indigenous access to university education has been a major focus in Australia over the last four decades. However, despite success in several areas of recognised priority to the Indigenous community, participation ...

Bilevel decision techniques are developed for decentralized planning problems with decision makers located in a two-level system. This study develops a particle swarm optimization based algorithm to solve fuzzy linear ...