Sensor networks are widely used in many applications for collecting information from the physical environment. In these applications, it is usually necessary to track the relation...
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
High volume print jobs are getting more common due to the growing demand for personalized documents. In this context, Variable Data Printing (VDP) has become a useful tool for mar...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruction-level parallelism (ILP) from individual applications or threads is still a ...