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» Using Generation for Grammar Analysis and Error Detection
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ICCV
2005
IEEE
15 years 3 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
74
Voted
WCRE
1997
IEEE
15 years 1 months ago
Generation of Components for Software Renovation Factories from Context-Free Grammars
We present an approach for the generation of components for a software renovation factory. These components are generated from a context-free grammar definition that recognizes t...
Mark van den Brand, M. P. A. Sellink, Chris Verhoe...
PRL
2008
131views more  PRL 2008»
14 years 9 months ago
Progressive structural analysis for dynamic recognition of on-line handwritten mathematical expressions
Structural analysis in handwritten mathematical expressions focuses on interpreting the recognized symbols using geometrical information such as relative sizes and positions of th...
Ba-Quy Vuong, Siu Cheung Hui, Yulan He
CORR
2008
Springer
137views Education» more  CORR 2008»
14 years 9 months ago
Counteracting Byzantine Adversaries with Network Coding: An Overhead Analysis
Network coding increases throughput and is robust against failures and erasures. However, since it allows mixing of information within the network, a single corrupted packet genera...
MinJi Kim, Muriel Médard, João Barro...
78
Voted
ICSE
2004
IEEE-ACM
15 years 9 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