5771 search results - page 298 / 1155 » Learning similarity space |
176
click to vote
DATAMINE
2008
15 years 6 months ago
2008
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
199
click to vote
SEMWEB
2007
Springer
16 years 25 days ago
2007
Springer
Ontology mapping is to find semantic correspondences between similar elements of different ontologies. It is critical to achieve semantic interoperability in the WWW. This paper su...
161
click to vote
NIPS
2007
15 years 8 months ago
2007
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
161
click to vote
ICVGIP
2004
15 years 8 months ago
2004
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
146
click to vote
DM
2010
15 years 6 months ago
2010
Abstract. We produce an explicit parameterization of well-rounded sublattices of the hexagonal lattice in the plane, splitting them into similarity classes. We use this parameteriz...