127 search results - page 14 / 26 » Incremental Local Outlier Detection for Data Streams |
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
ADBIS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
IEEEVAST
2010
13 years 2 months ago
2010
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...