4578 search results - page 740 / 916 » Learning from Multi-source Data |
131
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
121
Voted
AAAI
2007
15 years 4 months ago
2007
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
135
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AAAI
2008
15 years 4 months ago
2008
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
105
Voted
FLAIRS
2007
15 years 4 months ago
2007
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
145
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CIKM
2008
Springer
15 years 4 months ago
2008
Springer
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....