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EMNLP
2009
13 years 6 months ago
K-Best Combination of Syntactic Parsers
In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The proposed framework leverages on the strengths of previo...
Hui Zhang, Min Zhang, Chew Lim Tan, Haizhou Li
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
14 years 2 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
EMNLP
2007
13 years 10 months ago
Hierarchical System Combination for Machine Translation
Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hierarchical syste...
Fei Huang, Kishore Papineni
BMVC
1998
13 years 10 months ago
A Novel Confidence-Based Framework for Multiple Expert Decision Fusion
A novel confidence-based parallel multiple expert decision combination framework is introduced. The traditional approaches to parallel multiple source decision fusion either take ...
Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst
ECCV
1994
Springer
14 years 10 months ago
Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints
A uni ed framework for 3 D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-fromshad...
Pascal Fua, Yvan G. Leclerc