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Kiri Wagstaff
Kiri Wagstaff
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Verified email at wkiri.com - Homepage
Title
Cited by
Cited by
Year
Constrained k-means clustering with background knowledge
K Wagstaff, C Cardie, S Rogers, S Schrödl
Icml 1, 577-584, 2001
39652001
Clustering with instance-level constraints
K Wagstaff, C Cardie
AAAI/IAAI 1097, 577-584, 2000
8992000
Constrained clustering: Advances in algorithms, theory, and applications
S Basu, I Davidson, K Wagstaff
Chapman and Hall/CRC, 2008
7472008
Machine learning that matters
K Wagstaff
Proceedings of the Twenty-Ninth International Conference on Machine Learning …, 2012
3902012
Mining GPS traces for map refinement
S Schroedl, K Wagstaff, S Rogers, P Langley, C Wilson
Data mining and knowledge Discovery 9, 59-87, 2004
3272004
Noun phrase coreference as clustering
C Cardie, K Wagstaff
1999 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 1999
3191999
Measuring constraint-set utility for partitional clustering algorithms
I Davidson, KL Wagstaff, S Basu
European conference on principles of data mining and knowledge discovery …, 2006
2882006
Machine learning for science and society
C Rudin, KL Wagstaff
Machine Learning 95, 1-9, 2014
1532014
Multidocument summarization via information extraction
M White, T Korelsky, C Cardie, V Ng, D Pierce, K Wagstaff
Proceedings of the first international conference on Human language …, 2001
1502001
The commensal real-time ASKAP fast-transients (CRAFT) survey
JP Macquart, M Bailes, NDR Bhat, GC Bower, JD Bunton, S Chatterjee, ...
Publications of the Astronomical Society of Australia 27 (3), 272-282, 2010
1492010
VAST: an ASKAP survey for variables and slow transients
T Murphy, S Chatterjee, DL Kaplan, J Banyer, ME Bell, HE Bignall, ...
Publications of the Astronomical Society of Australia 30, e006, 2013
1402013
Intelligent clustering with instance-level constraints
KL Wagstaff
Cornell University, 2002
1392002
Alpha seeding for support vector machines
D DeCoste, K Wagstaff
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
1122000
Clustering with missing values: no imputation required.
K Wagstaff
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2004
1112004
Onboard autonomy on the intelligent payload experiment cubesat mission
S Chien, J Doubleday, DR Thompson, KL Wagstaff, J Bellardo, C Francis, ...
Journal of Aerospace Information Systems 14 (6), 307-315, 2017
962017
When is constrained clustering beneficial, and why
KL Wagstaff, S Basu, I Davidson
Ionosphere 58 (60.1), 62-63, 2006
932006
Active constrained clustering by examining spectral eigenvectors
Q Xu, M desJardins, KL Wagstaff
Discovery Science: 8th International Conference, DS 2005, Singapore, October …, 2005
812005
Deep mars: Cnn classification of mars imagery for the pds imaging atlas
K Wagstaff, Y Lu, A Stanboli, K Grimes, T Gowda, J Padams
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
712018
V-fastr: The vlba fast radio transients experiment
RB Wayth, WF Brisken, AT Deller, WA Majid, DR Thompson, SJ Tingay, ...
The Astrophysical Journal 735 (2), 97, 2011
712011
Constrained Spectral Clustering under a Local Proximity Structure Assumption.
Q Xu, Marie desJardins, K Wagstaff
FLAIRS, 866-867, 2005
642005
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