This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
The paper describes a systematic approach for automatically introducing data and code redundancy into an existing program written using a high-level language. The transformations ...
Maurizio Rebaudengo, Matteo Sonza Reorda, Marco To...
Because of the rapidly shrinking dimensions in VLSI, transient and permanent faults arise and will continue to occur in the near future in increasing numbers. Since cryptographic c...
We present a pronunciation error detection method for second language learners of English (L2 learners). The method is a combination of confidence scoring and landmark-based Suppo...
Su-Youn Yoon, Mark Hasegawa-Johnson, Richard Sproa...
Recent studies have suggested that the soft-error rate in microprocessor logic will become a reliability concern by 2010. This paper proposes an efficient error detection techniqu...
Jared C. Smolens, Brian T. Gold, Jangwoo Kim, Baba...