Benjamin Packer

Publication Activity (10 Years)

Years Active: 2005-2012
Publications (10 Years): 0

Top Topics

Bayesian Estimation

Convex Optimization

Probabilistic Model

Latent Variable Models

Top Venues

Publications

M. Pawan Kumar, Benjamin Packer, Daphne Koller
Modeling Latent Variable Uncertainty for Loss-based Learning. ICML (2012)
Benjamin Packer, Kate Saenko, Daphne Koller
A combined pose, object, and feature model for action understanding. CVPR (2012)
M. Pawan Kumar, Benjamin Packer, Daphne Koller
Modeling Latent Variable Uncertainty for Loss-based Learning CoRR (2012)
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies CoRR (2012)
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller
Max-Margin Min-Entropy Models. AISTATS (2012)
Tianshi Gao, Benjamin Packer, Daphne Koller
A segmentation-aware object detection model with occlusion handling. CVPR (2011)
M. Pawan Kumar, Benjamin Packer, Daphne Koller
Self-Paced Learning for Latent Variable Models. NIPS (2010)
Benjamin Packer, Stephen Gould, Daphne Koller
A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) (2010)
Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller
Shape-Based Object Localization for Descriptive Classification. Int. J. Comput. Vis. 84 (1) (2009)
Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller
Shape-Based Object Localization for Descriptive Classification. NIPS (2008)
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI (2008)
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng
Self-taught learning: transfer learning from unlabeled data. ICML (2007)
Kilian Q. Weinberger, Benjamin Packer, Lawrence K. Saul
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization. AISTATS (2005)