Title :
Meta data identification through mirror neurons
Author :
Meenakshi, R. ; AnandhaKumar, P.
Author_Institution :
Anna Univ., Chennai
Abstract :
The identification of a meta data is done using the concept of mirror neurons. Meta data is data about data where the data in our work is taken as picture of objects and the Meta data is identifying one single object from the picture from its components using two way associations taking ARTMAP for each association.
Keywords :
ART neural nets; meta data; sensor fusion; adaptive resonance theory mapping; data association; meta data identification; mirror neuron; Animals; Data mining; Fires; Humans; Mirrors; Neurons; Production; Resonance; Signal processing; Sociotechnical systems; Bidirectional Artmap; Metadata; Mirror Neurons;
Conference_Titel :
Computing, Communication and Networking, 2008. ICCCn 2008. International Conference on
Conference_Location :
St. Thomas, VI
Print_ISBN :
978-1-4244-3594-4
Electronic_ISBN :
978-1-4244-3595-1
DOI :
10.1109/ICCCNET.2008.4787684
