240 search results - page 7 / 48 » Optimisation methods for ranking functions with multiple par... |
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
IJCV
2010
13 years 2 months ago
2010
In this paper, we address the problem of photometric invariance in multispectral imaging making use of an optimisation approach based upon the dichromatic model. In this manner, w...
SIGMOD
2007
ACM
14 years 7 months ago
2007
ACM
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...