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90
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IWANN
2009
Springer
15 years 5 months ago
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...
José Luis Montaña, Cruz E. Borges
76
Voted
FCT
2001
Springer
15 years 5 months ago
Dense Families and Key Functions of Database Relation Instances
In this paper dense families of database relations are introduced. We characterize dependencies and keys of relation instances in terms of dense families. Key functions are also in...
Jouni Järvinen
136
Voted
ICIP
2010
IEEE
14 years 10 months ago
Tensor-based image diffusions derived from generalizations of the Total Variation and Beltrami Functionals
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
Anastasios Roussos, Petros Maragos
104
Voted
ICIP
2002
IEEE
16 years 2 months ago
Segmentation of non-rigid video objects using long term temporal consistency
This paper presents a new object-based segmentation technique which exploits a large temporal context in order to get coherent and robust segmentation results. The segmentation pr...
Henri Nicolas, Marc Chaumont, Stéphane Pate...
ICCAD
2008
IEEE
117views Hardware» more  ICCAD 2008»
15 years 9 months ago
On the numbers of variables to represent sparse logic functions
— In an incompletely specified function f, don’t care values can be chosen to minimize the number of variables to represent f. It is shown that, in incompletely specified fun...
Tsutomu Sasao