Worm detection systems have traditionally used global strategies and focused on scan rates. The noise associated with this approach requires statistical techniques and large data s...
David Dagon, Xinzhou Qin, Guofei Gu, Wenke Lee, Ju...
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and qu...
Bryan C. Russell, Antonio Torralba, Kevin P. Murph...
The mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research.
Ground truth: Over 60,000 pedestrians were labelled in 2000 video fra...
The emergence of multicore architectures will lead to an increase in the use of multithreaded applications that are prone to synchronization bugs, such as data races. Software sol...
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...