C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Clustering Algorithms
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
A comparison of photometric normalisation algorithms for face verification
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
| Hi-index | 0.00 |
In this paper is presented a method for the automatic DNA spots classification and extraction of profiles associated in DNA polyacrilamide gel electrophoresis based on image processing. A software which implements this method was developed, composed by four modules: Digital image acquisition, image preprocessing, feature extraction and classification, and DNA profile extraction. The use of different types of algorithms as: C4.5 Decision Trees, Support Vector Machines and Leader Algorithm are needed to resolve all the tasks. The experimental results show that this method has a very nice computational behavior and effectiveness, and provide a very useful tool to decrease the time and increase the quality of the specialist responses.