766 search results - page 58 / 154 » Clustering high dimensional data using subspace and projecte... |
MCS
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...
CIDM
2007
IEEE
14 years 3 months ago
2007
IEEE
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
NN
2008
Springer
13 years 8 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
EMNLP
2009
13 years 6 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
CVPR
2007
IEEE
14 years 10 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 ...