This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website w...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
Holistic representations of natural scenes are an effective and powerful source of information for semantic classification and analysis of arbitrary images. Recently, the frequenc...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
The method of choice of the software reliability models based on the analysis of assumptions and compatibility both input and output parameters is offered. This method is illustra...
Vyacheslav S. Kharchenko, O. M. Tarasyuk, Vladimir...
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...