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125
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PDCN
2004
15 years 4 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
135
Voted
ESANN
2006
15 years 4 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...
140
Voted
IS
2008
15 years 2 months ago
A dimensionality reduction technique for efficient time series similarity analysis
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
Qiang Wang, Vasileios Megalooikonomou
VLSID
2006
IEEE
94views VLSI» more  VLSID 2006»
15 years 8 months ago
On the Size and Generation of Minimal N-Detection Tests
The main result of this paper, proved as a theorem, is that a lower bound on the number of test vectors that detect each fault at least N times is N
Kalyana R. Kantipudi
126
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...