371 search results - page 16 / 75 » Learning to match and cluster large high-dimensional data se... |
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
PAKDD
2010
ACM
14 years 13 days ago
2010
ACM
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
TSP
2008
13 years 6 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
SADM
2010
13 years 2 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...