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» Associativity between feature models across domains
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ECCV
2004
Springer
14 years 9 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
AAAI
2011
12 years 7 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
SPLC
2010
13 years 9 months ago
Consistent Product Line Configuration across File Type and Product Line Boundaries
Creating a valid software configuration of a product line can require laborious customizations involving multiple configuration file types, such as feature models, domain-specific ...
Christoph Elsner, Peter Ulbrich, Daniel Lohmann, W...
ECIS
2001
13 years 9 months ago
Using Problem-Domain and Artefact-Domain Architectural Modelling to Understand System Evolution
The authors describe on going research to uncover the architectonic nature of artefacts and see how these may be related to high-level, but also grounded, model of the original pr...
Thomas R. Addis, Galal Hassan Galal
DIS
2010
Springer
13 years 6 months ago
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis
Abstract. We propose an association analysis-based strategy for exploration of multi-attribute spatial datasets possessing naturally arising classification. Proposed strategy, EST...
Tomasz F. Stepinski, Josue Salazar, Wei Ding 0003,...