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ASPLOS
2010
ACM
15 years 11 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
TEI
2010
ACM
179views Hardware» more  TEI 2010»
15 years 11 months ago
Feeling the beat where it counts: fostering multi-limb rhythm skills with the haptic drum kit
This paper introduces a tool known as the Haptic Drum Kit, which employs four computer-controlled vibrotactile devices, one attached to each wrist and ankle. In the applications d...
Simon Holland, Anders J. Bouwer, Mathew Dalgelish,...
IUI
2009
ACM
15 years 11 months ago
Discovering frequent work procedures from resource connections
Intelligent desktop assistants could provide more help for users if they could learn models of the users’ workflows. However, discovering desktop workflows is difficult becau...
Jianqiang Shen, Erin Fitzhenry, Thomas G. Dietteri...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 11 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
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 11 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
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