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88
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ACL
2009
14 years 10 months ago
Learning Semantic Correspondences with Less Supervision
A central problem in grounded language acquisition is learning the correspondences between a rich world state and a stream of text which references that world state. To deal with ...
Percy Liang, Michael I. Jordan, Dan Klein
ICIP
2008
IEEE
16 years 2 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang
92
Voted
ISBI
2004
IEEE
16 years 1 months ago
Enhanced Snake-Based Segmentation of Vocal Folds
We present a system to segment the medial edges of the vocal folds from stroboscopic video. The system has two components. The first learns a color transformation that optimally d...
Sonya Allin, John M. Galeotti, George D. Stetten, ...
95
Voted
SCALESPACE
2007
Springer
15 years 6 months ago
Towards Segmentation Based on a Shape Prior Manifold
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
Patrick Etyngier, Renaud Keriven, Jean-Philippe Po...
103
Voted
CSB
2005
IEEE
129views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction
The explanation of a decision is important for the acceptance of machine learning technology in bioinformatics applications such as protein structure prediction. In past research,...
Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Har...