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» An Introduction to Learning Structured Information
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HICSS
2002
IEEE
142views Biometrics» more  HICSS 2002»
15 years 2 months ago
Multi-perspective Enterprise Modeling (MEMO) - Conceptual Framework and Modeling Languages
For many companies, the strategic as well as the organizational fit of their information systems is a pivotal factor for staying competitive. At the same time, there is an increas...
Ulrich Frank
IJCAI
2003
14 years 11 months ago
Integrating Information to Bootstrap Information Extraction from Web Sites
In this paper we propose a methodology to learn to extract domain-specific information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
Fabio Ciravegna, Alexiei Dingli, David Guthrie, Yo...
NIPS
2008
14 years 11 months ago
Integrating Locally Learned Causal Structures with Overlapping Variables
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
Robert E. Tillman, David Danks, Clark Glymour
CVPR
2012
IEEE
13 years 1 days ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
NAACL
2004
14 years 11 months ago
Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
The regular occurrence of disfluencies is a distinguishing characteristic of spontaneous speech. Detecting and removing such disfluencies can substantially improve the usefulness ...
Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf