Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
Collaborations (between objects) are increasingly being recognized as fundamental building blocks to structure object-oriented design, and they have made their way into UML. But v...
The location and configuration of transmission infrastructure for cellular communication networks is a complex engineering task involving many competing objectives. While minimis...
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....