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ISNN
2010
Springer
14 years 8 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
MICCAI
2010
Springer
14 years 8 months ago
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Abstract. This paper introduces a new method to detect group differences in brain images based on spatially regularized support vector machines (SVM). First, we propose to spatial...
Rémi Cuingnet, Charlotte Rosso, Stép...
CIKM
2008
Springer
14 years 11 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
ICASSP
2009
IEEE
15 years 4 months ago
Incorporating prior knowledge on the digital media creation process into audio classifiers
In the process of music content creation, a wide range of typical audio effects such as reverberation, equalization or dynamic compression are very commonly used. Despite the fact...
Maxime Lardeur, Slim Essid, Gaël Richard, Mar...
ESANN
2006
14 years 11 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...