Year |
Citation |
Score |
2013 |
Abdullah A, Moeller J, Venkatasubramanian S. Approximate bregman near neighbors in sublinear time: Beyond the triangle inequality International Journal of Computational Geometry and Applications. 23: 253-301. DOI: 10.1142/S0218195913600066 |
0.31 |
|
2013 |
Raman P, Venkatasubramanian S. Power to the points: Validating data memberships in clusterings Proceedings - Ieee International Conference On Data Mining, Icdm. 617-626. DOI: 10.1109/ICDM.2013.147 |
0.43 |
|
2011 |
Phillips JM, Raman P, Venkatasubramanian S. Generating a diverse set of high-quality clusterings Ceur Workshop Proceedings. 772: 80-91. |
0.43 |
|
2011 |
Raman P, Phillips JM, Venkatasubramanian S. Spatially-aware comparison and consensus for clusterings Proceedings of the 11th Siam International Conference On Data Mining, Sdm 2011. 307-318. |
0.413 |
|
2009 |
Fletcher PT, Venkatasubramanian S, Joshi S. The geometric median on Riemannian manifolds with application to robust atlas estimation. Neuroimage. 45: S143-52. PMID 19056498 DOI: 10.1016/J.Neuroimage.2008.10.052 |
0.305 |
|
2009 |
Guha S, McGregor A, Venkatasubramanian S. Sublinear estimation of entropy and information distances Acm Transactions On Algorithms. 5. DOI: 10.1145/1597036.1597038 |
0.335 |
|
2007 |
Krishnan S, Lee PY, Moore JB, Venkatasubramanian S. Optimisation-on-a-manifold for global registration of multiple 3D point sets International Journal of Intelligent Systems Technologies and Applications. 3: 319-340. DOI: 10.1504/Ijista.2007.014267 |
0.307 |
|
2007 |
Efrat A, Fan Q, Venkatasubramanian S. Curve matching, time warping, and light fields: New algorithms for computing similarity between curves Journal of Mathematical Imaging and Vision. 27: 203-216. DOI: 10.1007/S10851-006-0647-0 |
0.316 |
|
2003 |
Indyk P, Venkatasubramanian S. Approximate congruence in nearly linear time Computational Geometry: Theory and Applications. 24: 115-128. DOI: 10.1016/S0925-7721(02)00095-0 |
0.354 |
|
2003 |
Gavrilov M, Indyk P, Motwani R, Venkatasubramanian S. Combinatorial and experimental methods for approximate point pattern matching Algorithmica (New York). 38: 59-90. DOI: 10.1007/S00453-003-1043-4 |
0.344 |
|
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