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Study of Human Perception with the Usage of Information Entropy Analysis of Patterns

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F15%3A43888605" target="_blank" >RIV/60076658:12520/15:43888605 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study of Human Perception with the Usage of Information Entropy Analysis of Patterns

  • Original language description

    We introduce a new research methodology based on the Partial Least Squares Regression (PLSR) statistical method to examine human perception of shapes and patterns in a set of images. The matrix of predictors was formed by a computed spectra of dependencyof a new information-entropic variable ? Point Information Gain Entropy ? on a dimensionless coeficient ?. It distinguishes between the semantic, syntactic, and total information brought by each image. The matrix of responses was gained from a sample ofthe human population. The matrix is a set of classification vectors assigning the identity number of the classification group to each image for each human evaluator. For each evaluator, we analyzed weighted regression coefficients (outputs of the PLSR model), which give weights of the coefficients ? for classification of images into groups. Testing the method on a group of 86 evaluators with black-and-white drawings by František Kupka shows relatively uniform classification, which clear

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    PURPLSOC: The Workshop 2014 (PURPLSOC: Pursuit of Pattern Languages for Societal Change, 1)

  • ISBN

    978-3-7375-5458-9

  • ISSN

  • e-ISSN

  • Number of pages

    452

  • Pages from-to

    366-384

  • Publisher name

    epubli

  • Place of publication

    Krems

  • Event location

    Krems

  • Event date

    Nov 14, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article