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» Error Detection Using Dynamic Dataflow Verification
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SIGSOFT
2002
ACM
14 years 9 months ago
Invariant inference for static checking
Static checking can verify the absence of errors in a program, but often requires written annotations or specifications. As a result, static checking can be difficult to use effec...
Jeremy W. Nimmer, Michael D. Ernst
TASLP
2002
93views more  TASLP 2002»
13 years 8 months ago
Robust endpoint detection and energy normalization for real-time speech and speaker recognition
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
Qi Li, Jinsong Zheng, A. Tsai, Qiru Zhou
SIGIR
2008
ACM
13 years 8 months ago
Optical character recognition errors and their effects on natural language processing
Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
Daniel P. Lopresti
ICSE
2004
IEEE-ACM
14 years 8 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst
IEEECIT
2010
IEEE
13 years 7 months ago
A Rotate-based Best Neighborhood Matching Algorithm for High Definition Image Error Concealment
—Error concealment restores the visual integrity of image content that has been damaged due to a bad network transmission. Best neighborhood matching (BNM) is an effective image ...
Liqiang He, Yanyan Zhang