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ICANN
2001
Springer
14 years 2 months ago
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
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...
Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ic...
DFT
1999
IEEE
139views VLSI» more  DFT 1999»
14 years 2 months ago
Soft-Error Detection through Software Fault-Tolerance Techniques
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...
CHES
2004
Springer
170views Cryptology» more  CHES 2004»
14 years 3 months ago
Concurrent Error Detection Schemes for Involution Ciphers
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...
Nikhil Joshi, Kaijie Wu, Ramesh Karri
INTERSPEECH
2010
13 years 4 months ago
Landmark-based automated pronunciation error detection
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...
ASPLOS
2004
ACM
14 years 3 months ago
Fingerprinting: bounding soft-error detection latency and bandwidth
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...