Christine Piatko
Cited by
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An efficient k-means clustering algorithm: Analysis and implementation
T Kanungo, DM Mount, NS Netanyahu, CD Piatko, R Silverman, AY Wu
IEEE transactions on pattern analysis and machine intelligence 24 (7), 881-892, 2002
A visibility matching tone reproduction operator for high dynamic range scenes
GW Larson, H Rushmeier, C Piatko
IEEE Transactions on Visualization and Computer Graphics 3 (4), 291-306, 1997
A local search approximation algorithm for k-means clustering
T Kanungo, DM Mount, NS Netanyahu, CD Piatko, R Silverman, AY Wu
Computational Geometry 28 (2-3), 89-112, 2004
Digital modeling of material appearance
J Dorsey, H Rushmeier, F Sillion
Elsevier, 2010
Using “annotator rationales” to improve machine learning for text categorization
O Zaidan, J Eisner, C Piatko
Human language technologies 2007: The conference of the North American …, 2007
Comparing real and synthetic images: Some ideas about metrics
H Rushmeier, G Ward, C Piatko, P Sanders, B Rust
Eurographics Workshop on Rendering Techniques, 82-91, 1995
Named entity recognition using hundreds of thousands of features
J Mayfield, P McNamee, C Piatko
Proceedings of the seventh conference on Natural language learning at HLT …, 2003
The analysis of a simple k-means clustering algorithm
T Kanungo, DM Mount, NS Netanyahu, C Piatko, R Silverman, AY Wu
Proceedings of the sixteenth annual symposium on Computational geometry, 100-109, 2000
Directed web crawler with machine learning
JP McNamee, J Mayfield, M Hall, L Duong, C Piatko
US Patent App. 10/121,525, 2002
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading.
J Mayfield, D Alexander, BJ Dorr, J Eisner, T Elsayed, T Finin, C Fink, ...
AAAI Spring Symposium: Learning by Reading and Learning to Read 9, 65-70, 2009
On the least trimmed squares estimator
DM Mount, NS Netanyahu, CD Piatko, R Silverman, AY Wu
Algorithmica 69 (1), 148-183, 2014
Perceptual issues in substituting texture for geometry
HE Rushmeier, BE Rogowitz, C Piatko
Human Vision and Electronic Imaging V 3959, 372-383, 2000
Modality and negation in SIMT use of modality and negation in semantically-informed syntactic MT
K Baker, M Bloodgood, BJ Dorr, C Callison-Burch, NW Filardo, C Piatko, ...
Computational Linguistics 38 (2), 411-438, 2012
Supporting insight-based information exploration in intelligence analysis
J Gersh, B Lewis, J Montemayor, C Piatko, R Turner
Communications of the ACM 49 (4), 63-68, 2006
Performance evaluation of k-means and fuzzy c-means clustering algorithms for statistical distributions of input data points
T Velmurugan, T Santhanam
European Journal of Scientific Research 46 (3), 320-330, 2010
A modality lexicon and its use in automatic tagging
K Baker, M Bloodgood, BJ Dorr, NW Filardo, L Levin, C Piatko
arXiv preprint arXiv:1410.4868, 2014
Computing a shortest k-link path in a polygon
JSB Mitchell, C Piatko, EM Arkin
Proceedings., 33rd Annual Symposium on Foundations of Computer Science, 573-582, 1992
Geolocating Blogs from Their Textual Content.
C Fink, CD Piatko, J Mayfield, T Finin, J Martineau
AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0, 25-26, 2009
Minimum-link watchman tours
EM Arkin, JSB Mitchell, CD Piatko
Information Processing Letters 86 (4), 203-207, 2003
Interactive 3D visualization for document retrieval
J Cugini, C Piatko, S Laskowski
Proceedings of the Workshop on New Paradigms in Information Visualization …, 1996
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Articles 1–20