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» Template Use and the Effectiveness of Knowledge Transfer
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ACCV
2010
Springer
14 years 4 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
ECCV
2008
Springer
15 years 11 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
IJCNN
2007
IEEE
15 years 3 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
IROS
2009
IEEE
140views Robotics» more  IROS 2009»
15 years 4 months ago
Transferring embodied concepts between perceptually heterogeneous robots
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
Zsolt Kira
ISESE
2002
IEEE
15 years 2 months ago
Replicating Software Engineering Experiments: Addressing the Tacit Knowledge Problem
Recently the awareness of the importance of replicating studies has been growing in the empirical software engineering community. The results of any one study cannot simply be ext...
Forrest Shull, Victor R. Basili, Jeffrey Carver, J...