In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
We extend position and phase-shift tuning, concepts already well established in the disparity energy neuron literature, to motion energy neurons. We show that Reichardt-like detec...
: In this paper we propose a multifactor biometric sketch authentication method based on biometric sketch recognition and a user’s personal knowledge about the sketch‘s content...
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of ...
This paper analyzes a range of incidents involving team-based interaction with safety-critical programmable systems. The incidents were submitted to NASA's Aviation Safety Rep...