Sciweavers

912 search results - page 50 / 183
» Anomaly
Sort
View
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 6 months ago
Anomaly Detection Using an Ensemble of Feature Models
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 ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
ICMLA
2010
13 years 6 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
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...
CVPR
2009
IEEE
15 years 3 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
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...
IEEEARES
2008
IEEE
14 years 3 months ago
Evaluation of Anomaly Based Character Distribution Models in the Detection of SQL Injection Attacks
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...
Mehdi Kiani, Andrew Clark, George M. Mohay
INFOCOM
2008
IEEE
14 years 3 months ago
Detecting Anomalies Using End-to-End Path Measurements
—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