27 search results - page 2 / 6 » Outlier identification in high dimensions |
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
COMAD
2008
13 years 7 months ago
2008
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
BMCBI
2008
13 years 6 months ago
2008
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
CORR
2000
Springer
13 years 5 months ago
2000
Springer
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
This work presents GROUSE (Grassmanian Rank-One Update Subspace Estimation), an efficient online algorithm for tracking subspaces from highly incomplete observations. GROUSE requi...