765 search results - page 109 / 153 » Learning from Multiple Annotators with Gaussian Processes |
148
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KDD
2000
ACM
15 years 7 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
134
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EUROCAST
2007
Springer
15 years 10 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
127
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
136
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JSAC
2010
15 years 2 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
132
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
A fundamental task in artificial intelligence and computer vision is to build machines that can behave like a human in recognizing a broad range of visual concepts. This paper aims...