We present improved extensive algorithm using dynamic programming method which provides global optimum ... We considered dynamic scenes with multiple, independently moving objects in which feature ...

Before selecting a feature selection algorithm, it is important to define criteria for evaluation. These criteria can vary depending on the problem, data, and objectives, but accuracy, stability ...

As a result, the proposed feature selection algorithm is very efficient. The experimental studies show that it takes less than 10% of the training time of the standard genetic programming training ...

The task of feature selection especially becomes more trick while selecting features that are extracted from text data. In this project we wanted develop an algorithm which good automate the process ...

This is the repository for the LinkedIn Learning course Programming Foundations: Algorithms. The full course is available from LinkedIn Learning. Algorithms are the universal building blocks of ...

Nested data parallelism: this feature offers the benefits of data parallelism ... The main emphasis in the design of NESL was to make parallel programming easy and portable. Algorithms are typically ...

Here, through in-depth study and analysis of the heuristic multiple sequence alignment algorithm (HMSAA) domain, a domain-feature model and an interactive model of HMSAA components have been ...