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JMLR
2012
13 years 2 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
ACL
2012
13 years 2 months ago
PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning
Many machine translation (MT) evaluation metrics have been shown to correlate better with human judgment than BLEU. In principle, tuning on these metrics should yield better syste...
Boxing Chen, Roland Kuhn, Samuel Larkin
AAAI
2012
13 years 2 months ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
CVPR
2004
IEEE
16 years 1 months ago
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
Adrian Barbu, Song Chun Zhu
CVPR
2004
IEEE
16 years 1 months ago
Gibbs Likelihoods for Bayesian Tracking
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
Stefan Roth, Leonid Sigal, Michael J. Black