bivariate features, obtained from multichannel electroencephalogram (eeg) recordings, quantify the relation between different brain regions. studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. a new bivariate approach using univariate features is proposed here. differences and ratios ...

Mosso, C., Sierra, J. P., Gracia, V., Mestres, M., and Rodriguez, A. 2011. Short-term morphodynamic changes in a fetch limited beach at the Ebro delta (Spain), under low wave-energy conditions. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), – . Szczecin, Poland, ISSN 0749-0208 Sandy beaches in fetch-limited environments are protected from large oce...

Specimens of Tubulanus riceae new species (Nemertea: Palaeonemertea) were collected from a Phragmatopoma worm reef in the surf zone at Fort Pierce (Florida, USA) and from sublittoral rubble at Carrie Bow Cay (Belize) and Bocas del Toro (Panama). They have well-developed lateral sensory organs, form a cellophane-like tube and appear to have ocelli-like structures. The latter, if confirmed as oce...

Shape from shading (SFS) has been studied for decades; nevertheless, its overly simple assumptions and its ill-conditioning have resulted in infrequent use in real applications. Price et al. recently developed an iterative scheme named shape from motion and shading (SFMS) that models both shape and reflectance of an unknown surface simultaneously. SFMS produces a fairly accurate, dense 3D recon...

Mobile phones are becoming increasingly sophisticated, enabling consumers to access more services and generate more data. However, the current PIN and password protection capabilities available on mobile phones are often misused resulting insufficient protection of the information stored within mobile phones. Image-based authentication (IBA) leverages the human ability to recognize graphics bet...

This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as moments extracted from video silhouettes of human walking motion. We claim that our gait dynamics representation is rich enough for the task of recognition and classification. The...

We study a dynamic coordination process in which agents are uncertain about the actions of their fellow agents, and anticipate strategically relevant information. Because of the uncertainty and learning, (ir)reversibility of actions has important strategic consequences. We find that the reversibility option can either enhance or hamper efficient coordination, and we characterize the direction o...