P
Paul A. Viola
Researcher at Microsoft
Publications - 115
Citations - 62579
Paul A. Viola is an academic researcher from Microsoft. The author has contributed to research in topics: Parsing & Boosting (machine learning). The author has an hindex of 52, co-authored 115 publications receiving 59853 citations. Previous affiliations of Paul A. Viola include IBM & Wilmington University.
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Patent
Processing an electronic document for information extraction
TL;DR: In this article, features and/or properties of words are identified from a set of training documents to aid in extracting information from documents to be processed, and a classifier is developed to express these features and or properties.
Proceedings ArticleDOI
Cooperative control of a semi-autonomous mobile robot
TL;DR: It is shown how supervisory control can be added to a reactive multiagent system for robots based on treating the existing behavioral agents as simply an enhanced effector command language and designing a higher-level control structure that switches them on and off.
Proceedings ArticleDOI
Learning to extract information from semi-structured text using a discriminative context free grammar
Paul A. Viola,Mukund Narasimhan +1 more
TL;DR: It is shown that a statistical parsing approach results in a 50% reduction in error rate and this system also has the advantage of being interactive, similar to the system described in [9].
Proceedings Article
Ambiguity and constraint in mathematical expression recognition
Erik G. Miller,Paul A. Viola +1 more
TL;DR: A new lower bound estimate on the cost to goal that improves performance significantly is provided and the system limits the number of potentially valid interpretations by decomposing the expressions into a sequence of compatible convex regions.
Proceedings Article
Empirical Entropy Manipulation for Real-World Problems
TL;DR: A differential learning rule is derived called EMMA that optimizes entropy by way of kernel density estimation and can be used to detect and correct corruption in magnetic resonance images (MRI).