9 search results - page 2 / 2 » Dimensionality Reduction Using Multi-Dimensional Scaling for... |
IV
2007
IEEE
13 years 11 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
WWW
2010
ACM
14 years 5 days ago
2010
ACM
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
SIGIR
2004
ACM
13 years 10 months ago
2004
ACM
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
MM
2005
ACM
13 years 10 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...