Year |
Citation |
Score |
2023 |
Karimov K, Kirby M, Peterson C. An algorithm for computing Schubert varieties of best fit with applications. Frontiers in Artificial Intelligence. 6: 1274830. PMID 38075384 DOI: 10.3389/frai.2023.1274830 |
0.326 |
|
2020 |
Álvarez-Vizoso J, Kirby M, Peterson C. Local eigenvalue decomposition for embedded Riemannian manifolds Linear Algebra and Its Applications. 604: 21-51. DOI: 10.1016/J.Laa.2020.06.006 |
0.369 |
|
2020 |
Álvarez-Vizoso J, Kirby M, Peterson C. Manifold curvature learning from hypersurface integral invariants Linear Algebra and Its Applications. 602: 179-205. DOI: 10.1016/J.Laa.2020.05.020 |
0.362 |
|
2019 |
Ma X, Aminian M, Kirby M. Error-adaptive modeling of streaming time-series data using radial basis functions Journal of Computational and Applied Mathematics. 362: 295-308. DOI: 10.1016/J.Cam.2018.10.056 |
0.362 |
|
2019 |
Ma X, Kirby M, Peterson C, Scharf L. Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions Neural Computing and Applications. 1-12. DOI: 10.1007/S00521-019-04444-X |
0.387 |
|
2018 |
Arn R, Narayana P, Draper B, Emerson T, Kirby M, Peterson C. Motion Segmentation via Generalized Curvatures. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30222550 DOI: 10.1109/Tpami.2018.2869741 |
0.313 |
|
2017 |
Ziegelmeier L, Kirby M, Peterson C. Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary Siam Review. 59: 346-365. DOI: 10.1137/15M1047921 |
0.566 |
|
2017 |
Chepushtanova S, Kirby M. Sparse Grassmannian Embeddings for Hyperspectral Data Representation and Classification Ieee Geoscience and Remote Sensing Letters. 14: 434-438. DOI: 10.1109/Lgrs.2017.2648514 |
0.425 |
|
2016 |
Marrinan T, Beveridge JR, Draper B, Kirby M, Peterson C. Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences Proceedings of Spie - the International Society For Optical Engineering. 9840. DOI: 10.1117/12.2224117 |
0.307 |
|
2015 |
Bates DJ, Davis BR, Kirby M, Marks J, Peterson C. The max-length-vector line of best fit to a set of vector subspaces and an optimization problem over a set of hyperellipsoids Numerical Linear Algebra With Applications. 22: 453-464. DOI: 10.1002/Nla.1965 |
0.346 |
|
2014 |
Chepushtanova S, Gittins C, Kirby M. Band selection in hyperspectral imagery using sparse support vector machines Proceedings of Spie. 9088. DOI: 10.1117/12.2063812 |
0.326 |
|
2014 |
Draper B, Kirby M, Marks J, Marrinan T, Peterson C. A flag representation for finite collections of subspaces of mixed dimensions Linear Algebra and Its Applications. 451: 15-32. DOI: 10.1016/J.Laa.2014.03.022 |
0.391 |
|
2013 |
Wang K, Bhandari V, Chepustanova S, Huber G, O'Hara S, O'Hern CS, Shattuck MD, Kirby M. Which biomarkers reveal neonatal sepsis? Plos One. 8: e82700. PMID 24367543 DOI: 10.1371/Journal.Pone.0082700 |
0.329 |
|
2013 |
O'Hara S, Wang K, Slayden RA, Schenkel AR, Huber G, O'Hern CS, Shattuck MD, Kirby M. Iterative feature removal yields highly discriminative pathways. Bmc Genomics. 14: 832. PMID 24274115 DOI: 10.1186/1471-2164-14-832 |
0.389 |
|
2012 |
Chang J, Peterson C, Kirby M. Feature Patch Illumination Spaces and Karcher Compression for Face Recognition via Grassmannians Advances in Pure Mathematics. 2: 226-242. DOI: 10.4236/Apm.2012.24033 |
0.342 |
|
2009 |
Beveridge JR, Draper BA, Chang JM, Kirby M, Kley H, Peterson C. Principal angles separate subject illumination spaces in YDB and CMU-PIE. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 351-63. PMID 19110498 DOI: 10.1109/Tpami.2008.200 |
0.329 |
|
2007 |
Chang J, Kirby M, Peterson C. Set-to-Set Face Recognition Under Variations in Pose and Illumination The Bulletin of the Center For Children's Books. 1-6. DOI: 10.1109/Bcc.2007.4430554 |
0.398 |
|
2000 |
Broomhead DS, Kirby M. A new approach to dimensionality reduction: theory and algorithms Siam Journal On Applied Mathematics. 60: 2114-2142. DOI: 10.1137/S0036139998338583 |
0.326 |
|
2000 |
Martin S, Kirby M, Miranda R. Kernel/Feature Selection for Support Vector Machines Applied to Materials Design Ifac Proceedings Volumes. 33: 25-30. DOI: 10.1016/S1474-6670(17)36805-2 |
0.566 |
|
2000 |
Martin S, Kirby M, Miranda R. Symmetric Veronese classifiers with application to materials design Engineering Applications of Artificial Intelligence. 13: 513-520. DOI: 10.1016/S0952-1976(00)00030-0 |
0.566 |
|
1993 |
Kirby M, Weisser F, Dangelmayr G. A model problem in the representation of digital image sequences Pattern Recognition. 26: 63-73. DOI: 10.1016/0031-3203(93)90088-E |
0.328 |
|
1990 |
Kirby M, Sirovich L. Application of the Karhunen-Loéve Procedure for the Characterization of Human Faces Ieee Transactions On Pattern Analysis and Machine Intelligence. 12: 103-108. DOI: 10.1109/34.41390 |
0.323 |
|
1990 |
Kirby M, Boris JP, Sirovich L. Proper orthogonal decomposition of a simulated supersonic shear layer International Journal For Numerical Methods in Fluids. 10: 411-428. DOI: 10.1002/Fld.1650100405 |
0.31 |
|
1987 |
Sirovich L, Kirby M. Low-dimensional procedure for the characterization of human faces. Journal of the Optical Society of America. a, Optics and Image Science. 4: 519-24. PMID 3572578 DOI: 10.1364/Josaa.4.000519 |
0.322 |
|
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