The bee identification problem is a of properly recognizing massive amount data (a numerous bees in beehive, for example) which have been mixed and corrupted by noise. We derive various error exponents the under two different decoding rules. Under naïve decoding, decodes each independently others, we analyze general discrete memoryless channel relatively wide family stochastic decoders. Upper l...

This article presents a comparison of pattern recognition techniques that have been used for the identification of correct or incorrect actions by means of Event Related Potentials (ERPs). ERP data from 47 electrodes were acquired from sixteen volunteers (observers), who observed correct or incorrect responses of subjects (actors) performing a special designed task. First and second order stati...

Convolutional Neural Networks (CNNs) are being increasingly used in safety-critical and high-performance computing systems. As such systems require high levels of resilience to errors, CNNs must execute correctly the presence hardware faults. Full duplication provides needed assurance but incurs a prohibitive 100 percent overhead. In this article, we focus on algorithmically verifying convoluti...

Coherent anti-Stokes Raman scattering (CARS) microscopy is a label-free imaging technique that is capable of real-time, nonperturbative examination of living cells and organisms based on molecular vibrational spectroscopy. Recent advances in detection schemes, understanding of contrast mechanisms, and developments of laser sources have enabled superb sensitivity and high time resolution. Emergi...