104 search results - page 13 / 21 » Solving constrained multi-objective problems by objective sp... |
GECCO
2003
Springer
14 years 27 days ago
2003
Springer
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
The study of 2D shapes and their similarities is a central problem in the field of vision. It arises in particular from the task of classifying and recognizing objects from their ...
JCIT
2010
13 years 2 months ago
2010
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
ICMLA
2007
13 years 9 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...