Igor Kononenko and Matjaž Bevk and Aleksander Sadikov and Luka Šajn (2003) Machine learning from coronas using parametrization of images. In: 6th International Multi-Conference Information Society IS' 2003, October 13-17, 2003, Ljubljana, Slovenia.
We were interested to develop an algorithm for detection of coronas of people in altered states of consciousness (two-classes problem). Such coronas are known to have rings (double coronas), special branch-like structure of streamers and/or curious spots. We used several approaches to parametrization of images and various machine learning algorithms. We compared results of computer algorithms with the human expert’s accuracy. Results show that computer algorithms can achieve the same or even better accuracy than that of human experts.
|Item Type: ||Conference or Workshop Item (Paper)|
|Keywords: ||Kirlian photography, machine learning, human coronas, altered state of consciousness, parametrization of images|
|Language of Content: ||English|
|Related URLs: |
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Divisions: ||Faculty of Computer and Information Science > Laboratory for Cognitive Modelling|
|Item ID: ||104|
|Date Deposited: ||22 Jan 2004|
|Last Modified: ||03 Dec 2013 09:34|
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