Work place: Transition Technologies S.A
E-mail: bartoszkp@gmail.com
Website:
Research Interests: Pattern Recognition, Computational Learning Theory, Computer systems and computational processes
Biography
Bartosz Papis received his M.Sc. degree in computer science from Warsaw University of Technology in 2008. Since 2006 he has been working as a Software Engineer, Team Leader and Senior Architect in Transition Technologies S.A., currently Ph.D. candidate at Warsaw University of Technology. His research interests include machine learning, in particular pattern recognition and reinforcement learning
DOI: https://doi.org/10.5815/ijigsp.2014.12.01, Pub. Date: 8 Nov. 2014
This paper presents the evaluation of three machine learning algorithms applied to colour recognition. The “primary” colour palette is defined in accordance with the results from social sciences. Decision Trees, Support Vector Machines and k-Nearest Neighbours classifiers are being tested on various data sets created for this purpose. One of the distance measures for the k-Nearest Neighbour classifier considered is DeltaE2000 - the standard colour difference formula, designed in conformance with human perception. Additionally, we compare these algorithms to various colour recognition applications available.
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