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» Approximate Objects and Approximate Theories
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SIAMCOMP
2011
14 years 9 months ago
Inapproximability Results for Maximum Edge Biclique, Minimum Linear Arrangement, and Sparsest Cut
We consider the Minimum Linear Arrangement problem and the (Uniform) Sparsest Cut problem. So far, these two notorious NP-hard graph problems have resisted all attempts to prove in...
Christoph Ambühl, Monaldo Mastrolilli, Ola Sv...
DASFAA
2004
IEEE
124views Database» more  DASFAA 2004»
15 years 10 months ago
Polygon and Polyline Join Using Raster Filters
Processing spatial joins efficiently is crucial to rendering the spatial data analysis process feasible. As pointed out in many works, the exact intersection test of two spatial ob...
Rodrigo Salvador Monteiro, Leonardo Guerreiro Azev...
NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 6 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
CVPR
2010
IEEE
16 years 2 months ago
Convex Shape Decomposition
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
Liu Hairong, Longin Jan Latecki, Liu Wenyu
IJON
2007
114views more  IJON 2007»
15 years 6 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao