194 search results - page 16 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
SIGIR
2004
ACM
15 years 5 months ago
2004
ACM
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
103
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WSDM
2012
ACM
13 years 7 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
CSSC
2008
14 years 11 months ago
2008
This article introduces a regularized logistic discrimination method that is especially suited for discretized stochastic processes (such as periodograms, spectrograms, EEG curves...
119
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ICB
2009
Springer
15 years 6 months ago
2009
Springer
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
124
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IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...