Benjamin Packer

According to our database, Benjamin Packer authored at least 11 papers between 2005 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Latent variable models for visual activity understanding.

Benjamin Packer

PhD thesis, 2015

2012

Max-Margin Min-Entropy Models.

Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Modeling Latent Variable Uncertainty for Loss-based Learning.

M. Pawan Kumar, Benjamin Packer, Daphne Koller

Proceedings of the 29th International Conference on Machine Learning, 2012

A combined pose, object, and feature model for action understanding.

Benjamin Packer, Kate Saenko, Daphne Koller

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A segmentation-aware object detection model with occlusion handling.

Tianshi Gao, Benjamin Packer, Daphne Koller

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Self-Paced Learning for Latent Variable Models.

M. Pawan Kumar, Benjamin Packer, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Unified Contour-Pixel Model for Figure-Ground Segmentation.

Benjamin Packer, Stephen Gould, Daphne Koller

Proceedings of the Computer Vision - ECCV 2010, 2010

2009

Shape-Based Object Localization for Descriptive Classification.

Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller

Int. J. Comput. Vis., 2009

2008

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies.

Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller

Proceedings of the UAI 2008, 2008

2007

Self-taught learning: transfer learning from unlabeled data.

Rajat Raina, Alexis J. Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng

Proceedings of the Machine Learning, 2007

2005

Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.

Kilian Q. Weinberger, Benjamin Packer, Lawrence K. Saul

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005