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» A Bayesian Framework for Sensory Adaptation
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15 years 3 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
CVPR
2009
IEEE
1587views Computer Vision» more  CVPR 2009»
14 years 11 months ago
High Dynamic Range Image Reconstruction from Hand-held Cameras
This paper presents a technique for reconstructing a high-quality high dynamic range (HDR) image from a set of differently exposed and possibly blurred images taken with a hand-hel...
Pei-Ying Lu, Tz-Huan Huang, Meng-Sung Wu, Yi-Ting ...
WWW
2010
ACM
14 years 22 days ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
COMAD
2009
13 years 6 months ago
Querying for relations from the semi-structured Web
We present a class of web queries whose result is a multi-column relation instead of a collection of unstructured documents as in standard web search. The user specifies the query...
Sunita Sarawagi