The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Researchers have been extracting features and designing applicable vision systems for more than 30 years, and the majority of these efforts focused on how to design features (i.e., feature space construction) for image and video representation, and how to build effective mapping from the original features to the semantic labels of the image or video data (i.e., feature extraction or classifier ...

We present a new feature extraction method for noisy datasets with intricate spatio-temporal structures that is based on the concept of transport operators graphs. The proposed approach generalizes and extends many existing data representation methodologies built upon diffusion processes to domain where dynamical systems play key role. main advantage this comes from ability exploit different re...

when the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. in this paper, we propose a supervised feature extraction method based on discriminant analysis (da) which uses the first principal component (pc1) to weight the scatter matrices. the proposed method, called da-pc1, copes with the small sample size problem and has...