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139
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SOCIALCOM
2010
15 years 1 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
132
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KDD
2002
ACM
16 years 4 months ago
2002
ACM
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
136
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MLMI
2005
Springer
15 years 9 months ago
2005
Springer
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications....
148
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
130
Voted
WSOM
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distance...