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» An Introduction to Transfer Learning
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ALT
1998
Springer
13 years 9 months ago
Editor's Introduction
Michael M. Richter, Carl H. Smith, Rolf Wiehagen, ...
AAAI
2010
13 years 6 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
11 years 7 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
15 years 3 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
13 years 11 months ago
Transfer Learning for Tandem ASR Feature Extraction
Joe Frankel, Özgür Çetin, Nelson ...