DataHub v1 is the original DataHub catalog of 11,000+ open datasets, now migrated to PortalJS Arc.
Dataset

A Method of Oval Fruit Recognition Based on D-S Evidential Reasoning

Based reasoning data fusion method, Dempster-Shafer evidence reasoning applies to class of rounded fruits recognition experiments. Through the use of multiple sensors to observe the fruits of information, sampling, extracting characteristic information to determine the treatment of various sensors measuring the basic…

About

Based reasoning data fusion method, Dempster-Shafer evidence reasoning applies to class of rounded fruits recognition experiments. Through the use of multiple sensors to observe the fruits of information, sampling, extracting characteristic information to determine the treatment of various sensors measuring the basic belief assignment fruit, and then Dempster combination rule to fuse the data further and improve reliability, the final identification of the effective decision-making a type of fruit. This experiment shows the D-S evidence reasoning has a strong ability to deal with uncertain information, the result proved the correctness and effectiveness. http://www.sjie.org/paperInfo.aspx?ID=1334

Download & API
A Method of Oval Fruit Recognition Based on D-S Evidential Reasoningaspx27 KB
Based reasoning data fusion method, Dempster-Shafer evidence reasoning applies to class of rounded fruits recognition experiments. Through the use of multiple sensors to observe the fruits of information, sampling, extracting characteristic information to determine the treatment of various sensors measuring the basic belief assignment fruit, and then Dempster combination rule to fuse the data further and improve reliability, the final identification of the effective decision-making a type of fruit. This experiment shows the D-S evidence reasoning has a strong ability to deal with uncertain information, the result proved the correctness and effectiveness.
Download
Sources & license
License
  • Other (Open)