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» Outlier Detection for High Dimensional Data
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ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 3 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 10 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
ICRA
2002
IEEE
109views Robotics» more  ICRA 2002»
14 years 1 months ago
Digital Tactile Sensing Elements Communicating through Conductive Skin Layers
In this paper, we propose a tactile sensing element that communicates through two dimensional conductive skin layers without individual wires. Each tactile element has sensors and...
Mitsuhiro Hakozaki, Hiroyuki Shinoda
ICASSP
2010
IEEE
13 years 8 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
JNW
2008
83views more  JNW 2008»
13 years 8 months ago
Substantiating Timing and Behavioral Anomalies in Wireless LANs Using GCL
With the increasing dependence on wireless LANs (WLANs), businesses, educational institutions and other organizations are in need of a reliable security mechanism. The latest secur...
Elankayer Sithirasenan, Vallipuram Muthukkumarasam...