34 search results - page 5 / 7 » Change Detection in Time Series Data Using Wavelet Footprint... |
AAAI
2008
13 years 11 months ago
2008
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
CSDA
2006
13 years 8 months ago
2006
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
FSKD
2005
Springer
14 years 2 months ago
2005
Springer
The prediction of epileptic seizures is a very attractive issue for all patients suffering from epilepsy in EEG (electroencephalograph) signals. It can assist to develop an interve...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...