13 search results - page 1 / 3 » Temporally constrained SCA with applications to EEG data |
ICASSP
2010
IEEE
12 years 11 months ago
2010
IEEE
In this paper we propose an iterative algorithm for solving the problem of extracting a sparse source signal when a reference signal for the desired source signal is available. In...
FSKD
2005
Springer
13 years 10 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...
KDD
2007
ACM
14 years 5 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...
IJON
2008
13 years 4 months ago
2008
Recently the constrained ICA (cICA) algorithm has been widely applied to many applications. But a crucial problem to the algorithm is how to design a reference signal in advance, ...
SAC
2004
ACM
13 years 10 months ago
2004
ACM
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...