Discovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Intern...
Sangmi Lee Pallickara, Shrideep Pallickara, Milija...
Active Appearance Models (AAMs) have been extensively used for face alignment during the last 20 years. While AAMs have numerous advantages relative to alternate approaches, they ...
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
In this paper, we discuss issues involving temporal data fragmentation, temporal query processing, and query optimization in multiprocessor database machines. We propose parallel ...
With the advent of ubiquitous multi-core architectures, a major challenge is to simplify parallel programming. One way to tame one of the main sources of programming complexity, n...
Luis Ceze, Pablo Montesinos, Christoph von Praun, ...