We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
Extremely crowded scenes present unique challenges to
video analysis that cannot be addressed with conventional
approaches. We present a novel statistical framework for
modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
The ubiquity of web applications has led to an increased focus on the development of attacks targeting these applications. One particular type of attack that has recently become p...
—In this paper, we propose new “low-overhead” network monitoring techniques to detect violations of path-level QoS guarantees like end-to-end delay, loss, etc. Unlike existin...
K. V. M. Naidu, Debmalya Panigrahi, Rajeev Rastogi