395 search results - page 47 / 79 » Learning to rank with partially-labeled data |
101
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IBPRIA
2007
Springer
15 years 3 months ago
2007
Springer
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
IDA
2007
Springer
14 years 11 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
ICCSA
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
114
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MM
2004
ACM
15 years 5 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...