This page presents selected visualizations resulting from research conduced with my postdocs and students. Note: Part of my research is in pattern recognition and image analysis; see for instance the images resulting from our research on OCT Imaging.
The image below presents the outcome of detecting blood vessels in a fundus image (conventional method for assessment of the back of the eye) using a detector evolved by means of genetic programming. See this Δ paper for details.
Attach:fundus.png Δ Attach:fundusDetect.png Δ
An optimized two-dimensional toroidal embedding of all 132 unique semantics obtained from 1024 programs of depth 3 composed of instructions +,−, , /, v, 1. Each tile plots program semantics in the interval [−1, 1]. Shading between tiles is the darker the greater the semantic distance. See ⚠ {[all.bib,krawiec:2011:EuroGP]} and ⚠ {[all.bib,DBLP:conf/gecco/Krawiec11]} for details.
Improving search efficiency using related problems
See the the poster Δ and the paper See ⚠ {[all.bib,2010CECKrawiecWieloch]} that describe this research.
Evolution of small-board Go player strategy (a hybrid of coevolutionary learning and temporal difference learning). See ⚠ {[all.bib,2010CECKrawiecSzubert]} for details.
See ⚠ {[all.bib,2009LichockiKrawiecEvoGames]} for details.
(:quicktime http://www.cs.put.poznan.pl/kkrawiec/images/ind-59.mov width=500 height=500:)
(click to pause, double-click to resume)
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