This paper describes how to reduce the burden of parallel programming by utilizing relevant parallel programs. Parallel algorithms are divided into four classes and a case base fo...
Abstract Target detection and tracking is one of the most important and fundamental technologies to develop real world computer vision systems such as security and traffic monitori...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
We present an experimental comparison of the performance of representative saliency detectors from three guiding principles for the detection of salient image locations: locations...
Many of the bugs in distributed software modules are security vulnerabilities, the most common and also the most exploited of which are buffer overflows and they typically arise in...