371 search results - page 33 / 75 » Learning to match and cluster large high-dimensional data se... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
NAACL
2004
13 years 9 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
SODA
1998
ACM
13 years 9 months ago
1998
ACM
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...