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Benjamin Packer
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2010 – 2019
- 2015
- [b1]Benjamin Packer:
Latent variable models for visual activity understanding. Stanford University, USA, 2015 - 2012
- [c10]Benjamin Packer, Kate Saenko, Daphne Koller:
A combined pose, object, and feature model for action understanding. CVPR 2012: 1378-1385 - [c9]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Modeling Latent Variable Uncertainty for Loss-based Learning. ICML 2012 - [c8]Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller:
Max-Margin Min-Entropy Models. AISTATS 2012: 779-787 - [i2]Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller:
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. CoRR abs/1206.3252 (2012) - [i1]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Modeling Latent Variable Uncertainty for Loss-based Learning. CoRR abs/1206.4636 (2012) - 2011
- [c7]Tianshi Gao, Benjamin Packer, Daphne Koller:
A segmentation-aware object detection model with occlusion handling. CVPR 2011: 1361-1368 - 2010
- [c6]Benjamin Packer, Stephen Gould, Daphne Koller:
A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) 2010: 338-351 - [c5]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Self-Paced Learning for Latent Variable Models. NIPS 2010: 1189-1197
2000 – 2009
- 2009
- [j1]Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller:
Shape-Based Object Localization for Descriptive Classification. Int. J. Comput. Vis. 84(1): 40-62 (2009) - 2008
- [c4]Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller:
Shape-Based Object Localization for Descriptive Classification. NIPS 2008: 633-640 - [c3]Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller:
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI 2008: 179-186 - 2007
- [c2]Rajat Raina, Alexis J. Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng:
Self-taught learning: transfer learning from unlabeled data. ICML 2007: 759-766 - 2005
- [c1]Kilian Q. Weinberger, Benjamin Packer, Lawrence K. Saul:
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization. AISTATS 2005: 381-388
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