{"id":2813,"date":"2019-09-24T20:57:57","date_gmt":"2019-09-25T00:57:57","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=2813"},"modified":"2019-09-24T20:57:57","modified_gmt":"2019-09-25T00:57:57","slug":"cs388-week-5-update","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/09\/24\/cs388-week-5-update\/","title":{"rendered":"CS388 – Week 5 – Update"},"content":{"rendered":"\n

For my first idea, I have been researching methods and corner and shape detection that I might be able to apply to my implementation. I found a very relevant paper about shape detection using VLI and NIR imagery from drones, which, while new and not especially well cited<\/g>, is very closely related to what I want to do, and I think it will provide a good base for my project.<\/p>\n\n\n\n

For my second idea, I have been researching different classification methods for audio. Both of the papers I found this week use a metric called Mel-Frequency Cepstral Coefficients, in both KNN and DNN algorithms. I think, having read over these papers, I will continue to search more specifically for research related to this concept.<\/p>\n\n\n\n

For my final idea, I have found two papers that discuss the obfuscation and user controls necessary to make geo-location safe, while still preserving its usefulness. One of these papers also discusses a relevance based<\/g> weighting system which I think will be a good resource for my project.<\/p>\n","protected":false},"excerpt":{"rendered":"

For my first idea, I have been researching methods and corner and shape detection that I might be able to apply to my implementation. I found a very relevant paper about shape detection using VLI and NIR imagery from drones, … Read More<\/a><\/p>\n","protected":false},"author":80,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[80,105,19],"tags":[],"class_list":["post-2813","post","type-post","status-publish","format-standard","hentry","category-80","category-porter-libby","category-student"],"yoast_head":"\nCS388 - Week 5 - Update - CS\/DS Student Portfolios<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/09\/24\/cs388-week-5-update\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CS388 - Week 5 - Update - CS\/DS Student Portfolios\" \/>\n<meta property=\"og:description\" content=\"For my first idea, I have been researching methods and corner and shape detection that I might be able to apply to my implementation. 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