High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collectio...
Rahul Malik, Sangkyum Kim, Xin Jin, Chandrasekar R...
Nearest neighbor (NN) search in high dimensional feature space is widely used for similarity retrieval of multimedia information. However, recent research results in the database ...
Measuring semantic similarity among concepts is the core method for assessing the degree of semantic interoperability within and between ontologies. In this paper, we propose to ex...
This work deals with trace theorems for a class of ramified bidimensional domains with a self-similar fractal boundary . The fractal boundary is supplied with a probability measur...
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...