Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
The world of software development has rapidly changed in the last few years due to the adoption of component-based technologies. The classical software configuration management, ...
Manual signs in American Sign Language (ASL) are constructed using three building blocks – handshape, motion, and place of articulations. Only when these three are successfully ...
We propose a novel method for the classification of EEG signals during motor-imagery. For motor-imagery based brain computer interface (MI-BCI), a method called common spatial pa...