File:Effects-of-thresholding-on-correlation-based-image-similarity-metrics-Video1.ogv
From Wikimedia Commons, the free media repository
Jump to navigation
Jump to search
Size of this JPG preview of this OGG file: 800 × 384 pixels. Other resolutions: 320 × 154 pixels | 640 × 307 pixels | 1,024 × 492 pixels | 1,280 × 615 pixels | 3,200 × 1,537 pixels.
Original file (Ogg Theora video file, length 2.0 s, 3,200 × 1,537 pixels, 1.32 Mbps, file size: 328 KB)
File information
Structured data
Captions
Summary
[edit]DescriptionEffects-of-thresholding-on-correlation-based-image-similarity-metrics-Video1.ogv |
English: Similarity metric distributions. Both strategies to handle empty voxels, including complete case analysis (CCA) and single value imputation (SVI), exhibited decreasing Pearson and Spearman scores as threshold increased when including both positive and negative values. |
||
Date | |||
Source | Supplementary Video 1 from Sochat V, Gorgolewski K, Koyejo O, Durnez J, Poldrack R (2015). "Effects of thresholding on correlation-based image similarity metrics". Frontiers in Neuroscience. DOI:10.3389/fnins.2015.00418. PMID 26578875. PMC: 4625081. | ||
Author | Sochat V, Gorgolewski K, Koyejo O, Durnez J, Poldrack R | ||
Permission (Reusing this file) |
This file is licensed under the Creative Commons Attribution 4.0 International license.
|
||
Provenance InfoField |
|
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 21:01, 22 November 2015 | 2.0 s, 3,200 × 1,537 (328 KB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
You cannot overwrite this file.
File usage on Commons
The following 2 pages use this file:
Transcode status
Update transcode statusMetadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Author | Sochat V, Gorgolewski K, Koyejo O, Durnez J, Poldrack R |
---|---|
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | Similarity metric distributions. Both strategies to handle empty voxels, including complete case analysis (CCA) and single value imputation (SVI), exhibited decreasing Pearson and Spearman scores as threshold increased when including both positive and negative values. |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2015-10-29 |