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Machine learning and GDV images: current research and results

Igor Kononenko and Tatjana Zrimec and Aleksander Sadikov and Katarina Mele and Tadej Milharčič (1999) Machine learning and GDV images: current research and results. In: 2nd International Multi-Conference Information Society IS' 1999, October 12-14, 1999, Ljubljana, Slovenia.

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    Abstract

    We use machine learning to interpret the GDV coronas of human's fingers in order to verify three hypotheses: 1. The GDV images contain useful information about the object/patient, 2. The map of coronas of fingers according to Chinese medicine does make sense, and 3. The human bioelectric field can be influenced by some outside factors, such as special T-shirts. We performed three independent studies: (a) recording coronas of apple skin, in order to verify if we can obtain any useful information for distinguishing the sort, age and the sun/shadow part of the apple, (b) detecting the state of menstrual cycle for females, and (c) detecting of the influence of different T-shirts on human's bioelectric field.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Kirlian photography, GDV images, machine learning, coronas of fruits, menstrual cycle, T-shirts, human bioelectromagnetic field
    Language of Content: English
    Related URLs:
    URLURL Type
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=1819476)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Laboratory for Cognitive Modelling
    Item ID: 105
    Date Deposited: 22 Jan 2004
    Last Modified: 04 Dec 2013 15:15
    URI: http://eprints.fri.uni-lj.si/id/eprint/105

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