114 search results - page 7 / 23 » Nonlinear adaptive distance metric learning for clustering |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...