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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
179
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
JUCS
2006
94views more  JUCS 2006»
15 years 6 months ago
UML-Based Modeling of Data-oriented WEB Applications
Abstract: Recently a growing demand has arisen for methods for the development of smalland medium scale Web Information Systems (WIS). Web applications are being built in a rapidly...
Attila Adamkó
KRMED
2008
15 years 8 months ago
Essential SNOMED: Simplifying SNOMED-CT and supporting Integration with Health Information Models
SNOMED CT (SCT) has been designed and implemented in an era when health computer systems generally required terminology representations in the form of singular precoordinated conc...
Peter MacIsaac, Donald Walker, Rachel L. Richesson...
189
Voted
HUMO
2007
Springer
16 years 28 days ago
Recognizing Activities with Multiple Cues
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
Rahul Biswas, Sebastian Thrun, Kikuo Fujimura