From 57fba037d519e45488599288f7753cb7a3cd32aa Mon Sep 17 00:00:00 2001 From: adamhrv Date: Fri, 12 Apr 2019 09:09:13 +0200 Subject: merging --- .../public/datasets/youtube_celebrities/index.html | 113 --------------------- 1 file changed, 113 deletions(-) delete mode 100644 site/public/datasets/youtube_celebrities/index.html (limited to 'site/public/datasets/youtube_celebrities') diff --git a/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html deleted file mode 100644 index b19add4e..00000000 --- a/site/public/datasets/youtube_celebrities/index.html +++ /dev/null @@ -1,113 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - -
- - -
MegaPixels
-
YouTube Celebrities
-
- -
-
- -

YouTube Celebrities

-

[ page under development ]

-
-

Who used YouTube Celebrities?

- -

- This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. -

- -
- -
- -
-
- -
-
-
- -
- -

Biometric Trade Routes

- -

- To help understand how YouTube Celebrities has been used around the world by commercial, military, and academic organizations; existing publicly available research citing YouTube Celebrities was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. -

- -
- -
-
-
- -
-
    -
  • Academic
  • -
  • Commercial
  • -
  • Military / Government
  • -
-
Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
-
- - -
- -

Dataset Citations

-

- The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to trainĀ or test machine learning algorithms. -

- -
-

Notes...

-
    -
  • Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First -Honda/UCSD, and (d) YouTube Celebrities.
  • -
  • This research is supported by the Central Intelligence Agency, the Biometrics -Task Force and the Technical Support Working Group through US Army contract -W91CRB-08-C-0093. The opinions, (cid:12)ndings, and conclusions or recommendations -expressed in this publication are those of the authors and do not necessarily re(cid:13)ect -the views of our sponsors.
  • -
  • in "Face Recognition From Video Draft 17"
  • -
  • International Journal of Pattern Recognition and Artifcial Intelligence WorldScientific Publishing Company
  • -
-
- -
- - - - - \ No newline at end of file -- cgit v1.2.3-70-g09d2