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EMNLP
2007
15 years 3 months ago
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
Jun Suzuki, Akinori Fujino, Hideki Isozaki
GRAPP
2007
15 years 3 months ago
Fitting 3D morphable models using implicit representations
We consider the problem of approximating the 3D scan of a real object through an affine combination of examples. Common approaches depend either on the explicit estimation of poi...
Curzio Basso, Alessandro Verri
HIS
2008
15 years 3 months ago
Learning Spatial Grammars for Drawn Documents Using Genetic Algorithms
The problem of object recognition may be cast into a spatial grammar framework. This system comprises three novel elements: a spatial organisation of line features, an efficient t...
Simon J. Hickinbotham, Anthony G. Cohn
NIPS
2008
15 years 3 months ago
Dimensionality Reduction for Data in Multiple Feature Representations
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
ACL
2001
15 years 3 months ago
From Chunks to function-Argument Structure: A Similarity-Based Approach
Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partia...
Sandra Kübler, Erhard W. Hinrichs