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» Algorithms for Spatial Outlier Detection
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IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 1 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
14 years 8 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
CVPR
2005
IEEE
14 years 1 months ago
Linear Combination Representation for Outlier Detection in Motion Tracking
In this paper we show that Ullman and Basri’s linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outli...
Guodong Guo, Charles R. Dyer, Zhengyou Zhang
CIKM
2010
Springer
13 years 6 months ago
Top-Eye: top-k evolving trajectory outlier detection
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various asp...
Yong Ge, Hui Xiong, Zhi-hua Zhou, Hasan Ozdemir, J...
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
14 years 1 months ago
Outlier Detection for Fine-grained Load Balancing in Database Clusters
Recent industry trends towards reducing the costs of ownership in large data centers emphasize the need for database system techniques for both automatic performance tuning and ef...
Jin Chen, Gokul Soundararajan, Madalin Mihailescu,...