118 search results - page 13 / 24 » Phrase Clustering for Discriminative Learning |
BMCBI
2007
13 years 9 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
JMLR
2012
12 years 2 days 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...
ICANN
2009
Springer
13 years 7 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...