24 search results - page 4 / 5 » Iterative Double Clustering for Unsupervised and Semi-superv... |
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
ICPR
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
ICIP
2003
IEEE
14 years 8 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
ISNN
2004
Springer
13 years 11 months ago
2004
Springer
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...