Domain > isaacdykeman.com

More information on this domain is in AlienVault OTX

DNS Resolutions

Date	IP Address
2016-02-10	54.225.152.55 (ClassC)
2017-05-21	54.243.49.106 (ClassC)
2017-05-24	54.243.158.73 (ClassC)
2025-01-12	3.216.88.24 (ClassC)
2025-03-28	3.219.96.23 (ClassC)
2025-10-17	23.22.52.7 (ClassC)

HTTP/1.1 200 OKReport-To: {group:heroku-nel,max_age:3600,endpoints:{url:https://nel.heroku.com/reports?ts1712901339&sid929419e7-33ea-4e2f-85f0-7d8b7cd5cbd6&sKpAMU3WeOCT3DZiwwWGVTqCQCTZB8BXWQ609ETwZl4o

html>head> meta http-equivrefresh content0; URLhttp://ijdykeman.github.io/ />LINK hrefisaacDykemanStyle.css relstylesheet typetext/css>link hrefhttp://fonts.googleapis.com/css?familyLato:300 relstylesheet typetext/css>title>Isaac Dykeman/title>/head>body>mainTitleText>br>Hello, Im br> mainTitleName>Isaacblank stylefont-size:100%> /blank>Dykemanbr>/mainTitleName> Contact me at ijdykeman@gmail.combr>a href/resume.pdf>CV/a>/mainTitleText>mainContentContainer>mainContentItem>mainContentVisual >iframe  width  615 height  384 src//www.youtube.com/embed/JFL_fVoL_g8?rel0 frameborder0 allowfullscreen>/iframe>/mainContentVisual>mainContentItemDescription>mainContentItemTitle>Brimming Seabr>/mainContentItemTitle>p>This video shows a demo of the game I am developing, Brimming Sea.  Its a strategy adventure game which combines elements of first person action and third person strategy in a sandbox voxel environment.  The world of the game is procedurally generated, and all the art in the game was created using my voxel editing software Cube Studio (detailed below).  Visit a hrefhttp://brimmingsea.com/>BrimmingSea.com/a> to see more./p>/mainContentItemDescription>div styletext-align:right>mainContentKeyPoints>Procedural generation, Custom content pipelines, Artificial intelligence, Real time rendering br>Skills: C# and HLSL languages, DirectX graphics framework/mainContentKeyPoints>/div>/mainContentItem>mainContentItem>mainContentVisual >img width  512 height  320  srcimages/augary.png>/mainContentVisual>mainContentItemDescription>mainContentItemTitle>Using Computer Vision to Improve Road Safetybr>/mainContentItemTitle>p>In order to detect road signs, I used LBP classifiers trained with a combination of real world samples and realistic artificial samples I generated using shaders.  Training with the artificial samples produced a substantial improvement in the overall performance of the classifier over one which was trained only on real world samples, but it was still too slow and had too many false positives.  This is why we ar

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Domain > isaacdykeman.com

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