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» Associativity between feature models across domains
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ECCV
2004
Springer
16 years 1 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
13 years 11 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
15 years 1 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
15 years 1 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
14 years 10 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,...