371 search results - page 35 / 75 » Learning to match and cluster large high-dimensional data se... |
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
ICDIM
2010
IEEE
13 years 5 months ago
2010
IEEE
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
DAWAK
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
VLSISP
2002
13 years 7 months ago
2002
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...