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» On the use of spiking neural network for EEG classification
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PRL
1998
93views more  PRL 1998»
13 years 8 months ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
Ke Chen 0001
AROBOTS
2006
120views more  AROBOTS 2006»
13 years 8 months ago
A biomimetic robot for tracking specific odors in turbulent plumes
Two basic tasks must be performed by an olfactory robot tracking a specific odor source : navigate in a turbulent odor plume and recognize an odor regardless of its concentration....
Dominique Martinez, Olivier Rochel, Etienne Hugues
SENSYS
2006
ACM
14 years 2 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...
SOFTCO
2004
Springer
14 years 2 months ago
MultiNNProm: A Multi-Classifier System for Finding Genes
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
Romesh Ranawana, Vasile Palade
ICANN
2009
Springer
13 years 6 months ago
Mental Tasks Classification for a Noninvasive BCI Application
Mapping brain activity patterns in external actions has been studied in recent decades and is the base of a brain-computer interface. This type of interface is extremely useful for...
Alexandre Ormiga G. Barbosa, David Ronald A. Diaz,...