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SIAMREV
2010
170views more  SIAMREV 2010»
14 years 4 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
ISBI
2002
IEEE
15 years 2 months ago
A shape reconstruction method for diffuse optical tomography using a transport model and level sets
A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tis...
O. Dorn
ICCV
2003
IEEE
15 years 11 months ago
Appearance Sampling for Obtaining A Set of Basis Images for Variable Illumination
Previous studies have demonstrated that the appearance of an object under varying illumination conditions can be represented by a low-dimensional linear subspace. A set of basis i...
Imari Sato, Takahiro Okabe, Yoichi Sato, Katsushi ...
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 1 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 2 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich