272 search results - page 22 / 55 » Unsupervised Outlier Detection in Time Series Data |
160
click to vote
ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
141
click to vote
ISBI
2004
IEEE
16 years 5 months ago
2004
IEEE
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
148
Voted
TMI
2008
15 years 4 months ago
2008
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
151
Voted
KDD
2004
ACM
16 years 5 months ago
2004
ACM
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
133
Voted
VLDB
2005
ACM
15 years 10 months ago
2005
ACM
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...