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» An Introduction to Learning Structured Information
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131
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ICML
2009
IEEE
16 years 4 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
150
Voted
CVPR
2011
IEEE
14 years 7 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
132
Voted
OTM
2004
Springer
15 years 9 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...
110
Voted
ICALT
2009
IEEE
15 years 10 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
132
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WIKIS
2006
ACM
15 years 9 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