Some propositions of information fusion for pattern recognition with context task

Authors:
Michal Wozniak
Affiliations:
Chair of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 4
Cited 1

Rule-based systems and pattern recognition

Pattern Recognition Letters
Machine Learning

Machine Learning
A bayes algorithm for the multitask pattern recognition problem - direct approach

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Experimentation system for efficient job performing in veterinary medicine area

ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV

Probability Error in Bayes Optimal Classifier with Intuitionistic Fuzzy Observations

ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Paper deals with the concept of information fusion and its application to the contextual pattern recognition task. The concept of the recognition based on the probabilistic model are presented. The machine learning algorithm based on statistical tests for the recognition of controlled Markov chains is shown. Some experimental results of obtained methods are shown.