371 search results - page 17 / 75 » Learning to match and cluster large high-dimensional data se... |
JMLR
2012
11 years 10 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We address the problem of detecting batches of emails that have been created according to the same template. This problem is motivated by the desire to filter spam more effectivel...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback...
IJCV
2008
13 years 7 months ago
2008
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...