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EMNLP
2009
15 years 4 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Ding Liu, Daniel Gildea
AVSS
2005
IEEE
16 years 11 days ago
Multiple object tracking using elastic matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is gener...
Xingzhi Luo, Suchendra M. Bhandarkar
ICIAR
2005
Springer
16 years 8 days ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
15 years 8 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
ASWEC
2010
IEEE
15 years 7 months ago
On the Use of Properties in Java Applications
—When building software systems, developers have to weigh the benefits of using one specific solution approach against the risks and costs of using another one. This process is...
Markus Lumpe, Samrian Mahmud, Rajesh Vasa