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» An Introduction to Transfer Learning
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ALT
1998
Springer
15 years 7 months ago
Editor's Introduction
Michael M. Richter, Carl H. Smith, Rolf Wiehagen, ...
AAAI
2010
15 years 4 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
CVPR
2012
IEEE
13 years 5 months ago
Large-scale knowledge transfer for object localization in ImageNet
ImageNet is a large-scale database of object classes with millions of images. Unfortunately only a small fraction of them is manually annotated with bounding-boxes. This prevents ...
Matthieu Guillaumin, Vittorio Ferrari

Book
534views
17 years 1 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
MLMI
2007
Springer
15 years 9 months ago
Transfer Learning for Tandem ASR Feature Extraction
Joe Frankel, Özgür Çetin, Nelson ...