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ASPLOS
2010
ACM
15 years 8 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
118
Voted
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
15 years 8 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
DASFAA
2009
IEEE
191views Database» more  DASFAA 2009»
15 years 8 months ago
Benchmarking Performance-Critical Components in a Native XML Database System
The rapidly increasing number of XML-related applications indicates a growing need for efficient, dynamic, and native XML support in database management systems (XDBMS). So far, bo...
Karsten Schmidt 0002, Sebastian Bächle, Theo ...
114
Voted
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 8 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
DATE
2009
IEEE
116views Hardware» more  DATE 2009»
15 years 8 months ago
An MDE methodology for the development of high-integrity real-time systems
—This paper reports on experience gained and lessons learned from an intensive investigation of model-driven engineering methodology and technology for application to high-integr...
Silvia Mazzini, Stefano Puri, Tullio Vardanega