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IJCV
2006
165views more  IJCV 2006»
13 years 9 months ago
A Riemannian Framework for Tensor Computing
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...
Xavier Pennec, Pierre Fillard, Nicholas Ayache
SAC
2006
ACM
14 years 3 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
SIGMOD
2010
ACM
323views Database» more  SIGMOD 2010»
14 years 2 months ago
Boosting spatial pruning: on optimal pruning of MBRs
Fast query processing of complex objects, e.g. spatial or uncertain objects, depends on efficient spatial pruning of the objects’ approximations, which are typically minimum bou...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
14 years 3 months ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
DOLAP
2003
ACM
14 years 2 months ago
Implementing operations to navigate semantic star schemas
In the last years, lots of work have been devoted to multidimensional modeling, star shape schemas and OLAP operations. However, “drill-across” has not captured as much attent...
Alberto Abelló, José Samos, Fè...