2 search results - page 1 / 1 » Belief theoretic methods for soft and hard data fusion |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...