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» An Introduction to Learning Structured Information
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ICML
2009
IEEE
15 years 10 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims
CVPR
2011
IEEE
14 years 1 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
OTM
2004
Springer
15 years 3 months ago
Towards a Global Component Architecture for Learning Objects: An Ontology Based Approach
This paper investigates basic research issues that need to be addressed in order to reuse learning objects in a flexible way. We propose an ontology based approach. Our ontology f...
Katrien Verbert, Joris Klerkx, Michael Meire, Jeha...
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ICALT
2009
IEEE
15 years 4 months ago
Korean Word Associations: The Linked Structures for Language Learning
This paper reports on Korean Word Associations (KorWA) which were collected to construct a semantic network for Korean language. An approach of graph representation and network an...
Jaeyoung Jung, Nobuyasu Makoshi, Hiroyuki Akama
WIKIS
2006
ACM
15 years 3 months ago
WikiTrails: augmenting Wiki structure for collaborative, interdisciplinary learning
Wikis are currently in high demand in a large variety of fields, due to their simplicity and flexible nature. Documentation, reporting, project management, online glossaries and d...
Silvan Reinhold