While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straigh...
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
A skyline query returns a set of objects that are not dominated by other objects. An object is said to dominate another if it is closer to the query than the latter on all factors...
Deepak P, Prasad M. Deshpande, Debapriyo Majumdar,...
In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon ...
Cees Snoek, Dennis Koelma, Giang P. Nguyen, Marcel...
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...