| Year |
Citation |
Score |
| 2015 |
Rising J, Kulesza A, Taskar B. An efficient algorithm for the symmetric principal minor assignment problem Linear Algebra and Its Applications. 473: 126-144. DOI: 10.1016/J.Laa.2014.04.019 |
0.308 |
|
| 2014 |
Lee EA, Rabaey J, Hartmann B, Kubiatowicz J, Pister K, Simunic Rosing T, Wawrzynek J, Wessel D, Sangiovanni-Vincentelli A, Seshia SA, Blaauw D, Dutta P, Fu K, Guestrin C, Taskar B, et al. The swarm at the edge of the cloud Ieee Design and Test. 31: 8-20. DOI: 10.1109/Mdat.2014.2314600 |
0.554 |
|
| 2013 |
Weiss D, Taskar B. SCALPEL: Segmentation cascades with localized priors and efficient learning Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2035-2042. DOI: 10.1109/CVPR.2013.265 |
0.344 |
|
| 2012 |
Batmanghelich NK, Taskar B, Davatzikos C. Generative-discriminative basis learning for medical imaging. Ieee Transactions On Medical Imaging. 31: 51-69. PMID 21791408 DOI: 10.1109/Tmi.2011.2162961 |
0.369 |
|
| 2012 |
Toshev A, Taskar B, Daniilidis K. Shape-based object detection via boundary structure segmentation International Journal of Computer Vision. 99: 123-146. DOI: 10.1007/S11263-012-0521-Z |
0.375 |
|
| 2011 |
Graça JV, Ganchev K, Coheur L, Pereira F, Taskar B. Controlling complexity in part-of-speech induction Journal of Artificial Intelligence Research. 41: 527-551. DOI: 10.1613/Jair.3348 |
0.389 |
|
| 2011 |
Kulesza A, Taskar B. Learning determinantal point processes Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 419-427. |
0.345 |
|
| 2011 |
Cour T, Sapp B, Taskar B. Learning from partial labels Journal of Machine Learning Research. 12: 1501-1536. |
0.312 |
|
| 2010 |
Graça JV, Ganchev K, Taskar B. Learning tractableword alignmentmodels with complex constraints Computational Linguistics. 36: 481-504. DOI: 10.1162/Coli_A_00007 |
0.39 |
|
| 2010 |
Toshev A, Mordohai P, Taskar B. Detecting and parsing architecture at city scale from range data Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 398-405. DOI: 10.1109/CVPR.2010.5540187 |
0.314 |
|
| 2010 |
Sapp B, Jordan C, Taskar B. Adaptive pose priors for pictorial structures Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 422-429. DOI: 10.1109/CVPR.2010.5540182 |
0.348 |
|
| 2010 |
Obozinski G, Taskar B, Jordan MI. Joint covariate selection and joint subspace selection for multiple classification problems Statistics and Computing. 20: 231-252. DOI: 10.1007/S11222-008-9111-X |
0.345 |
|
| 2005 |
Anguelov D, Taskar B, Chatalbashev V, Koller D, Gupta D, Heitz G, Ng A. Discriminative learning of Markov Random fields for segmentation of 3D scan data Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 169-176. DOI: 10.1109/CVPR.2005.133 |
0.548 |
|
| 2004 |
Taskar B, Guestrin C, Koller D. Max-margin Markov networks Advances in Neural Information Processing Systems. |
0.316 |
|
| 2001 |
Segal E, Taskar B, Gasch A, Friedman N, Koller D. Rich probabilistic models for gene expression. Bioinformatics (Oxford, England). 17: S243-52. PMID 11473015 DOI: 10.1093/Bioinformatics/17.Suppl_1.S243 |
0.535 |
|
| 2001 |
Taskar B, Segal E, Koller D. Probabilistic classification and clustering in relational data Ijcai International Joint Conference On Artificial Intelligence. 870-876. |
0.301 |
|
| 2001 |
Getoor L, Taskar B, Koller D. Selectivity estimation using probabilistic models Proceedings of the Acm Sigmod International Conference On Management of Data. 461-472. |
0.487 |
|
| Show low-probability matches. |