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EMNLP
2007
15 years 8 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
177
Voted
PAMI
1998
85views more  PAMI 1998»
15 years 6 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas
ACSD
2007
IEEE
116views Hardware» more  ACSD 2007»
16 years 1 months ago
Finding Structure in Unstructured Processes: The Case for Process Mining
Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions...
Wil M. P. van der Aalst, Christian W. Günther
AMDO
2008
Springer
15 years 8 months ago
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. Th...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
EMNLP
2007
15 years 8 months ago
Getting the Structure Right for Word Alignment: LEAF
Word alignment is the problem of annotating parallel text with translational correspondence. Previous generative word alignment models have made structural assumptions such as the...
Alexander Fraser, Daniel Marcu