518 search results - page 5 / 104 » Object correspondence as a machine learning problem |
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
BMVC
2010
14 years 9 months ago
2010
In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
CGF
2005
14 years 11 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
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IPCO
1998
15 years 1 months ago
1998
Abstract. A well studied and difficult class of scheduling problems concerns parallel machines and precedence constraints. In order to model more realistic situations, we consider ...
MANSCI
2006
14 years 11 months ago
2006
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...