41 search results - page 8 / 9 » Multiple Layer Perceptron training using genetic algorithms |
152
Voted
FLAIRS
2004
15 years 5 months ago
2004
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
139
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
140
Voted
MCS
2007
Springer
15 years 9 months ago
2007
Springer
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
126
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
160
Voted
MIR
2010
ACM
15 years 2 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...