509 search results - page 72 / 102 » Learning combined similarity measures from user data for ima... |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
CIVR
2007
Springer
14 years 2 months ago
2007
Springer
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
WMCSA
2008
IEEE
14 years 3 months ago
2008
IEEE
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...