166 search results - page 6 / 34 » Outlier Detection for High Dimensional Data |
SIGMOD
2000
ACM
15 years 29 days ago
2000
ACM
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
IROS
2007
IEEE
15 years 3 months ago
2007
IEEE
— 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 ...
MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
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DPD
2002
14 years 9 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
KDD
2004
ACM
15 years 9 months ago
2004
ACM
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...