Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
In this paper, techniques for optimization of net algorithms describing parallel asynchronous computations and derived from cycling and branching behavioral descriptions are prese...
Anatoly Prihozhy, Daniel Mlynek, Michail Solomenni...
We propose a polynomial-time algorithm for segmentation
and (open) boundary estimation which takes into account
a series of user-specified attraction points. In contrast
to exis...
Thomas Windheuser, Thomas Schoenemann, Daniel Crem...
We present a new optimization technique that yields the first FPTAS for several geometric problems. These problems reduce to optimizing a sum of non-negative, constant description...
We investigate choosing point samples on a model comprising parametric patches to meet a user specified budget. These samples may then be triangulated, rendered as points or ray-...