53 search results - page 2 / 11 » Measures of divergence on credal sets |
ISAAC
2009
Springer
14 years 9 days ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
IPMI
2009
Springer
14 years 16 days ago
2009
Springer
This paper proposes a novel and robust approach to the groupwise point-sets registration problem in the presence of large amounts of noise and outliers. Each of the point sets is r...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
CVPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Shape database search is ubiquitous in the world of biometric systems, CAD systems etc. Shape data in these domains is experiencing an explosive growth and usually requires search...
CIKM
2009
Springer
13 years 3 months ago
2009
Springer
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...