23 search results - page 1 / 5 » Outlier Detection with Kernel Density Functions |
MLDM
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
NIPS
2004
13 years 6 months ago
2004
The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
HPCC
2007
Springer
13 years 11 months ago
2007
Springer
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....