1895 search results - page 6 / 379 » Function learning from interpolation |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
CGF
2000
13 years 7 months ago
2000
espace interpolation algorithm abstracts motion sequences as 1D signals, and interpolates between them to create higher dimension signals, with weights drawn from a user specified...
ICCAD
2007
IEEE
14 years 4 months ago
2007
IEEE
Functional dependency is concerned with rewriting a Boolean function f as a function h over a set of base functions {g1, …, gn}, i.e. f = h(g1, …, gn). It plays an important r...
DAGSTUHL
1997
13 years 8 months ago
1997
There is a wide range of applications for which surface interpolation or approximation from scattered data points in space is important. Dependent on the field of application and...
TACAS
2004
Springer
14 years 25 days ago
2004
Springer
We present a method of deriving Craig interpolants from proofs in the quantifier-free theory of linear inequality and uninterpreted function symbols, and an interpolating theorem...