103 search results - page 1 / 21 » Model Selection via Bilevel Optimization |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
WEBDB
2004
Springer
13 years 10 months ago
2004
Springer
In our research on superimposed information management, we have developed applications where information elements in the superimposed layer serve to annotate, comment, restructure...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...