Dr. Eric K. Ringger
at Brigham Young Univ
SPIE Involvement:
Editor | Author
Area of Expertise:
Natural Language Processing , Text Mining , Machine Learning , Computational Linguistics
Websites:
Profile Summary

Eric Ringger is an Associate Professor of Computer Science at Brigham Young University. He is director of the Natural Language Processing (NLP) Lab and is working with his students to solve the problem of machine-assisted exploratory textual data analysis. Their research toward solving that problem makes contributions in areas such as NLP, text mining with unsupervised topic models, text analytics, lightly supervised machine learning -- including cost-conscious active learning -- and machine-assistance for human language annotation tasks. Data sets of interest include large text collections and historical document images. He teaches courses on algorithm design and analysis, NLP, and text mining. He was a Researcher in the NLP group at Microsoft Research in Redmond, Washington, from 1997 to 2005. Eric has a B.S. in Mathematics from BYU and M.S. and Ph.D. degrees in Computer Science from the University of Rochester. Up-to-date information regarding his publications can be found on Google Scholar:
Publications (4)

Proceedings Article | 24 March 2014 Paper
William Lund, Eric Ringger, Daniel Walker
Proceedings Volume 9021, 90210A (2014) https://doi.org/10.1117/12.2042502
KEYWORDS: Optical character recognition, Associative arrays, Error analysis, Machine learning, Systems modeling, Binary data, Detection and tracking algorithms, Feature extraction, Gold, Bioinformatics

Proceedings Article | 4 February 2013 Paper
Daniel Walker, Eric Ringger, Kevin Seppi
Proceedings Volume 8658, 865812 (2013) https://doi.org/10.1117/12.2008345
KEYWORDS: Data modeling, Feature selection, Optical character recognition, Performance modeling, Machine learning, Statistical modeling, Data mining, Blood, Error analysis, Feature extraction

Proceedings Article | 4 February 2013 Paper
William Lund, Douglas Kennard, Eric Ringger
Proceedings Volume 8658, 86580R (2013) https://doi.org/10.1117/12.2006228
KEYWORDS: Optical character recognition, RGB color model, Optical alignment, Image processing, Machine learning, Error analysis, Image segmentation, Computer science, Speech recognition, Bioinformatics

Proceedings Article | 24 January 2012 Paper
Daniel Walker, William Lund, Eric Ringger
Proceedings Volume 8297, 829710 (2012) https://doi.org/10.1117/12.912203
KEYWORDS: Optical character recognition, Data modeling, Image processing, Error analysis, Calibration, Digital imaging, Latex, Binary data, Associative arrays, Detection and tracking algorithms

Proceedings Volume Editor (2)

SPIE Conference Volume | 14 January 2015

SPIE Conference Volume | 2 February 2014

Conference Committee Involvement (2)
Document Recognition and Retrieval XXII
11 February 2015 | San Francisco, California, United States
Document Recognition and Retrieval XXI
5 February 2014 | San Francisco, California, United States
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