136 search results - page 2 / 28 » Using the Distance Distribution for Approximate Similarity Q... |
ECML
2006
Springer
13 years 8 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 ...
PCM
2001
Springer
13 years 9 months ago
2001
Springer
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
MICAI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
WWW
2009
ACM
14 years 5 months ago
2009
ACM
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
VLDB
2000
ACM
13 years 8 months ago
2000
ACM
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...