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» Outlier Detection for High Dimensional Data
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MOBIQUITOUS
2005
IEEE
15 years 3 months ago
Correlation Analysis for Alleviating Effects of Inserted Data in Wireless Sensor Networks
This paper introduces a new approach that addresses data contamination problems from attacks in unattended wireless sensor networks. We propose a sliding-window based spatio-tempo...
Sapon Tanachaiwiwat, Ahmed Helmy
NIPS
2000
14 years 10 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
14 years 8 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
MICCAI
2006
Springer
15 years 10 months ago
GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound
Abstract. Real-time 3D ultrasound can enable new image-guided surgical procedures, but high data rates prohibit the use of traditional tracking techniques. We present a new method ...
Paul M. Novotny, Jeffrey A. Stoll, Nikolay V. Vasi...
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AVSS
2007
IEEE
15 years 3 months ago
Real-time detection of illegally parked vehicles using 1-D transformation
With decreasing costs of high quality surveillance systems, human activity detection and tracking has become increasingly practical. Accordingly, automated systems have been desig...
Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jak...