 | 2009 |
| 28 |  | Andrey Rukhin,
Carey E. Priebe,
Dennis M. Healy Jr.:
On the monotone likelihood ratio property for the convolution of independent binomial random variables.
Discrete Applied Mathematics 157(11): 2562-2564 (2009) |
| 2008 |
| 27 |  | Michael W. Trosset,
Carey E. Priebe:
The out-of-sample problem for classical multidimensional scaling.
Computational Statistics & Data Analysis 52(10): 4635-4642 (2008) |
| 26 |  | Michael W. Trosset,
Carey E. Priebe,
Youngser Park,
Michael I. Miller:
Semisupervised learning from dissimilarity data.
Computational Statistics & Data Analysis 52(10): 4643-4657 (2008) |
| 25 |  | David J. Marchette,
Carey E. Priebe:
Predicting unobserved links in incompletely observed networks.
Computational Statistics & Data Analysis 52(3): 1373-1386 (2008) |
| 2007 |
| 24 |  | Youngser Park,
Carey E. Priebe,
Kelly Botteron,
Michael I. Miller,
Nikhil R. Mohan:
Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations.
FBIT 2007: 465-469 |
| 23 |  | Nayoung A. Lee,
Carey E. Priebe,
J. Tilak Ratnanather,
Michael I. Miller:
Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain.
FBIT 2007: 477-481 |
| 22 |  | Majnu John,
Carey E. Priebe:
A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic.
Computational Statistics & Data Analysis 51(9): 4337-4353 (2007) |
| 21 |  | Donniell E. Fishkind,
Carey E. Priebe,
K. E. Giles,
L. N. Smith,
Vural Aksakalli:
Disambiguation Protocols Based on Risk Simulation.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(5): 814-823 (2007) |
| 2006 |
| 20 |  | Carey E. Priebe,
Michael I. Miller,
J. Tilak Ratnanather:
Segmenting magnetic resonance images via hierarchical mixture modelling.
Computational Statistics & Data Analysis 50(2): 551-567 (2006) |
| 19 |  | Elvan Ceyhan,
Carey E. Priebe,
John C. Wierman:
Relative density of the random r.
Computational Statistics & Data Analysis 50(8): 1925-1964 (2006) |
| 18 |  | Jason DeVinney,
Carey E. Priebe:
A new family of proximity graphs: Class cover catch digraphs.
Discrete Applied Mathematics 154(14): 1975-1982 (2006) |
| 2005 |
| 17 |  | Jorge Jovicich,
Mirza Faisal Beg,
Steve Pieper,
Carey E. Priebe,
Michael I. Miller,
Randy L. Buckner,
Bruce Rosen:
Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing.
CBMS 2005: 288-293 |
| 16 |  | Christopher K. Eveland,
Diego A. Socolinsky,
Carey E. Priebe,
David J. Marchette:
A Hierarchical Methodology for Class Detection Problems with Skewed Priors.
J. Classification 22(1): 17-48 (2005) |
| 2004 |
| 15 |  | Lowell Abrams,
Donniell E. Fishkind,
Carey E. Priebe:
The generalized spherical homeomorphism theorem for digital images.
IEEE Trans. Med. Imaging 23(5): 655-657 (2004) |
| 14 |  | Carey E. Priebe,
David J. Marchette,
Dennis M. Healy Jr.:
Integrated Sensing and Processing Decision Trees.
IEEE Trans. Pattern Anal. Mach. Intell. 26(6): 699-708 (2004) |
| 2003 |
| 13 |  | Carey E. Priebe,
Jeffrey L. Solka,
David J. Marchette,
B. Ted Clark:
Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays.
Computational Statistics & Data Analysis 43(4): 621-632 (2003) |
| 12 |  | Carey E. Priebe,
David J. Marchette,
Jason DeVinney,
Diego A. Socolinsky:
Classification Using Class Cover Catch Digraphs.
J. Classification 20(1): 003-023 (2003) |
| 11 |  | Tim Olson,
Jong-Shi Pang,
Carey E. Priebe:
A likelihood-MPEC approach to target classification.
Math. Program. 96(1): 1-31 (2003) |
| 10 |  | David J. Marchette,
Carey E. Priebe:
Characterizing the scale dimension of a high-dimensional classification problem.
Pattern Recognition 36(1): 45-60 (2003) |
| 2002 |
| 9 |  | Lowell Abrams,
Donniell E. Fishkind,
Carey E. Priebe:
A Proof of the Spherical Homeomorphism Conjecture for Surfaces.
IEEE Trans. Med. Imaging 21(11): 1564-1566 (2002) |
| 8 |  | Jeffrey L. Solka,
Carey E. Priebe,
Barton T. Clark:
A Visualization Framework for the Analysis of Hyperdimensional Data.
Int. J. Image Graphics 2(1): 145-161 (2002) |
| 2001 |
| 7 |  | Carey E. Priebe:
Olfactory Classification via Interpoint Distance Analysis.
IEEE Trans. Pattern Anal. Mach. Intell. 23(4): 404-413 (2001) |
| 1997 |
| 6 |  | Carey E. Priebe,
David J. Marchette,
George W. Rogers:
Segmentation of Random Fields Via Borrowed Strength Density Estimation.
IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 494-499 (1997) |
| 5 |  | David J. Marchette,
Richard A. Lorey,
Carey E. Priebe:
An analysis of local feature extraction in digital mammography.
Pattern Recognition 30(9): 1547-1554 (1997) |
| 1995 |
| 4 |  | Richard A. Lorey,
Jeffrey L. Solka,
George W. Rogers,
David J. Marchette,
Carey E. Priebe:
Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition.
Real-Time Imaging 1(2): 95-104 (1995) |
| 1994 |
| 3 |  | Wendy L. Poston,
George W. Rogers,
Carey E. Priebe,
Jeffrey L. Solka:
A qualitative analysis of the resistive grid kernel estimator.
Pattern Recognition Letters 15(3): 219-225 (1994) |
| 1993 |
| 2 |  | Carey E. Priebe,
David J. Marchette:
Adaptive mixture density estimation.
Pattern Recognition 26(5): 771-785 (1993) |
| 1991 |
| 1 |  | Carey E. Priebe,
David J. Marchette:
Adaptive mixtures: Recursive nonparametric pattern recognition.
Pattern Recognition 24(12): 1197-1209 (1991) |