188 search results - page 11 / 38 » Feature Selection with Adjustable Criteria |
DAGSTUHL
1997
13 years 9 months ago
1997
This paper presents a technique for local surface extraction from scalar and vector fields using deformable surfaces. The goal of surface extraction is often to find features, o...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
IJON
2000
13 years 7 months ago
2000
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
JIFS
2002
13 years 7 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
HUMO
2000
Springer
13 years 11 months ago
2000
Springer
We describe an approach for extracting threedimensional articulated motion from unrestricted monocular video sequences. We combine feature extraction methods based on active conto...