Andrew McCallum / heirarchical LDA / Neural Information Processing Systems / New England Journal / BBNT Solutions LLC / The Central Intelligence Agency / /
Country
Jordan / / /
Facility
Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst Computer Science / /
IndustryTerm
post-processing step / car cars engine drive oil / optical character recognition software / possible solution / error correction algorithm / document processing / image processing information / post-processor / correction algorithm / /
Organization
National Security Agency / Central Intelligence Agency / National Science Foundation / U.S. Government / Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst Computer Science and Psychology Departments Amherst / Center for Intelligent Information Retrieval / Pattern Analysis and Machine Intelligence / /
Person
Figure / Latent Semantic / Laurence Erlbaum / Michael L. Wick Michael / G. Ross Erik / /
Position
Driver / color motor snaw shaw snow deater center dealer / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of Machine Learning Research / the New England Journal of Medicine / /
Technology
OCR / 3.2 Error-correction algorithm The algorithm / 3.1 Model construction The error correction algorithm / weak OCR algorithm / optical character recognition / Machine Learning / OCR algorithm / image processing / correction algorithm / /
Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst