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Deterministic and Statistical Methods in Machine Learning, 2005, p.211-228
2005
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Lecture notes in computer science, 2003, p.625-640
2003
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Computer Vision – ECCV 2016 Workshops, p.170-185
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Artificial Intelligence in Medicine, p.240-249
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Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, p.117-176
- Everingham, Mark
- Zisserman, Andrew
- Williams, Christopher K. I.
- Van Gool, Luc
- Allan, Moray
- Bishop, Christopher M.
- Chapelle, Olivier
- Dalal, Navneet
- Deselaers, Thomas
- Dorkó, Gyuri
- Duffner, Stefan
- Eichhorn, Jan
- Farquhar, Jason D. R.
- Fritz, Mario
- Garcia, Christophe
- Griffiths, Tom
- Jurie, Frederic
- Keysers, Daniel
- Koskela, Markus
- Laaksonen, Jorma
- Larlus, Diane
- Leibe, Bastian
- Meng, Hongying
- Ney, Hermann
- Schiele, Bernt
- Schmid, Cordelia
- Seemann, Edgar
- Shawe-Taylor, John
- Storkey, Amos
- Szedmak, Sandor
- Triggs, Bill
- Ulusoy, Ilkay
- Viitaniemi, Ville
- Zhang, Jianguo
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Artificial Neural Networks — ICANN 96, 2005, p.165-170
2005
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Computer Vision — ECCV 2002, p.82-96
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Dictionary of Computer Vision and Image Processing, 2014, p.A-D
2014
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Dictionary of Computer Vision and Image Processing, 2014
2014
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Dictionary of Computer Vision and Image Processing, 2014
2014
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Dictionary of Computer Vision and Image Processing, 2014
2014
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Dictionary of Computer Vision and Image Processing, 2013
2013
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Dictionary of Computer Vision and Image Processing, 2013
2013
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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Gaussian Processes for Machine Learning, 2005
2005
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