# Benjamin Packer

According to our database

Collaborative distances:

^{1}, Benjamin Packer authored at least 13 papers between 2005 and 2012.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2012

Max-Margin Min-Entropy Models.

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

Modeling Latent Variable Uncertainty for Loss-based Learning

CoRR, 2012

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies

CoRR, 2012

Modeling Latent Variable Uncertainty for Loss-based Learning.

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

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

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

2011

A segmentation-aware object detection model with occlusion handling.

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

2010

Self-Paced Learning for Latent Variable Models.

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.

Proceedings of the Computer Vision - ECCV 2010, 2010

2009

Shape-Based Object Localization for Descriptive Classification.

International Journal of Computer Vision, 2009

2008

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies.

Proceedings of the UAI 2008, 2008

Shape-Based Object Localization for Descriptive Classification.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Self-taught learning: transfer learning from unlabeled data.

Proceedings of the Machine Learning, 2007

2005

Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.

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