166 search results - page 15 / 34 » Outlier Detection for High Dimensional Data |
SSDBM
2006
IEEE
15 years 3 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
KDD
2007
ACM
15 years 9 months ago
2007
ACM
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
ICRA
2007
IEEE
15 years 3 months ago
2007
IEEE
— This paper presents a robotic system capable of using three-dimensional ultrasound to guide a surgical instrument to a tracked target location. Tracking of both the surgical in...