3,839
edits
Juho Kunsola (talk | contribs) m (fixed typos introduced by automated replacement, need to use regex next time to make sure there is a space after the match) |
Juho Kunsola (talk | contribs) mNo edit summary |
||
(10 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
This is the ''' | This is the '''SSFWIKI glossary''' with limited dictionary function. See '''[[resources]]''' for examples you will often find linked for your convenience. | ||
= ACM = | = ACM = | ||
Line 68: | Line 68: | ||
* Covertly modeling the '''human voice''' | * Covertly modeling the '''human voice''' | ||
There is work ongoing to model e.g. '''human's style of writing''', but this is probably not as drastic a threat as the covert modeling of appearance and of voice. | There is work ongoing to model e.g. '''human's style of writing''', but this is probably not as drastic a threat as the covert modeling of appearance and of voice. | ||
---- | |||
= Cyberbullying = | |||
* '''[[w:Cyberbullying]]''' or '''cyberharassment''' is a form of [[w:bullying]] or [[w:harassment]] using [[w:Electronic communication network|w:electronic means]]. Cyberbullying and cyberharassment are also known as '''online bullying'''. ([https://en.wikipedia.org/w/index.php?title=Cyberbullying&oldid=1065285058 Wikipedia]) | |||
---- | ---- | ||
Line 125: | Line 131: | ||
= Generative adversial network = | = Generative adversial network = | ||
[[File:Woman | [[File:Woman 1.jpg|alt=An image generated by StyleGAN, a generative adversarial network (GAN), that looks deceptively like a portrait of a young woman.|thumb|250x250px|An image generated by [[w:StyleGAN]], a [[w:generative adversarial network]] (GAN), that looks deceptively like a portrait of a young woman.]] | ||
{{Q|A '''generative adversarial network''' ('''GAN''') is a class of [[w:machine learnin|g]] systems. Two [[w:neural network|neural network]]s contest with each other in a [[w:zero-sum game|zero-sum game]] framework. This technique can generate photographs that look at least superficially authentic to human observers,<ref name="GANs">{{cite arXiv |eprint=1406.2661|title=Generative Adversarial Networks|first1=Ian |last1=Goodfellow |first2=Jean |last2=Pouget-Abadie |first3=Mehdi |last3=Mirza |first4=Bing |last4=Xu |first5=David |last5=Warde-Farley |first6=Sherjil |last6=Ozair |first7=Aaron |last7=Courville |first8=Yoshua |last8=Bengio |class=cs.LG |year=2014 }}</ref> having many realistic characteristics. It is a form of [[w:unsupervised learning|unsupervised learning]]]].<ref name="ITT_GANs">{{cite arXiv |eprint=1606.03498|title=Improved Techniques for Training GANs|last1=Salimans |first1=Tim |last2=Goodfellow |first2=Ian |last3=Zaremba |first3=Wojciech |last4=Cheung |first4=Vicki |last5=Radford |first5=Alec |last6=Chen |first6=Xi |class=cs.LG |year=2016 }}</ref>|Wikipedia|[[w:generative adversarial network|generative adversarial networks]]}} | {{Q|A '''generative adversarial network''' ('''GAN''') is a class of [[w:machine learnin|g]] systems. Two [[w:neural network|neural network]]s contest with each other in a [[w:zero-sum game|zero-sum game]] framework. This technique can generate photographs that look at least superficially authentic to human observers,<ref name="GANs">{{cite arXiv |eprint=1406.2661|title=Generative Adversarial Networks|first1=Ian |last1=Goodfellow |first2=Jean |last2=Pouget-Abadie |first3=Mehdi |last3=Mirza |first4=Bing |last4=Xu |first5=David |last5=Warde-Farley |first6=Sherjil |last6=Ozair |first7=Aaron |last7=Courville |first8=Yoshua |last8=Bengio |class=cs.LG |year=2014 }}</ref> having many realistic characteristics. It is a form of [[w:unsupervised learning|unsupervised learning]]]].<ref name="ITT_GANs">{{cite arXiv |eprint=1606.03498|title=Improved Techniques for Training GANs|last1=Salimans |first1=Tim |last2=Goodfellow |first2=Ian |last3=Zaremba |first3=Wojciech |last4=Cheung |first4=Vicki |last5=Radford |first5=Alec |last6=Chen |first6=Xi |class=cs.LG |year=2016 }}</ref>|Wikipedia|[[w:generative adversarial network|generative adversarial networks]]}} | ||
Line 209: | Line 215: | ||
'''Relighting''' means applying a completely different [[w:lighting]] situation to an image or video which has already been imaged. As of 2020-09 the English Wikipedia does not have an article on relighting. | '''Relighting''' means applying a completely different [[w:lighting]] situation to an image or video which has already been imaged. As of 2020-09 the English Wikipedia does not have an article on relighting. | ||
As of 2020-11-19 Wikipedia does not have an article on '''relighting'''. | Since 2021-03-15 a [[w:Relighting]] is a redirect to [[w:Polynomial texture mapping]]. | ||
'''[[w:Polynomial texture mapping]]''' ('''PTM'''), also known as '''Reflectance Transformation Imaging''' (RTI), is a technique of [[w:digital imaging]] and [[w:interactive media|w:interactively]] displaying objects under varying [[w:lighting]] conditions to reveal surface phenomena. ([https://en.wikipedia.org/w/index.php?title=Polynomial_texture_mapping&oldid=1021704138 Wikipedia]) | |||
Past: As of 2020-11-19 Wikipedia does not have an article on '''relighting'''. | |||
---- | ---- | ||
= Sexual bullying = | |||
* '''[[w:Sexual bullying]]''' is a type of [[w:bullying]] and [[w:sexual harassment]] that occurs in connection with a person's [[w:sex]], body, [[w:sexual orientation]] or with [[w:sexual activity]]. It can be [[w:physical abuse|w:physical]], [[w:verbal abuse|w:verbal]], and/or [[w:emotional abuse]]. ([https://en.wikipedia.org/w/index.php?title=Sexual_bullying&oldid=1063305355 Wikipedia]) | |||
---- | |||
= SISE = | |||
'''SISE''' refers to the [[#Stopping Internet Sexual Exploitation Act]] - a House of Commons of Canada bill introduced in 2022. | |||
---- | |||
= SISEA = | |||
* [[#Stop Internet Sexual Exploitation Act]] - a US Senate bill in the 2019-2020 session | |||
---- | |||
= Spectrogram = | = Spectrogram = | ||
[[File:Spectrogram-19thC.png|thumb|right|360px|A [[w:spectrogram|spectrogram]] of a male voice saying 'nineteenth century']] | [[File:Spectrogram-19thC.png|thumb|right|360px|A [[w:spectrogram|spectrogram]] of a male voice saying 'nineteenth century']] | ||
Line 226: | Line 248: | ||
See '''[[wikidata:]]''' for translations, descriptions and links to WMF wikis about speech syntheses. | See '''[[wikidata:]]''' for translations, descriptions and links to WMF wikis about speech syntheses. | ||
---- | |||
= Stop Internet Sexual Exploitation Act = | |||
The Stop Internet Sexual Exploitation Act (SISE) was a bill introduced to the 2019-2020 session of the US Senate. | |||
* [https://www.congress.gov/bill/116th-congress/senate-bill/5054?r=1&s=1 US Senate Bill ''''''S.5054''' - '''Stop Internet Sexual Exploitation Act''''' at congress.gov] | |||
= Stopping Internet Sexual Exploitation Act = | |||
* [https://www.parl.ca/DocumentViewer/en/44-1/bill/C-270/first-reading House of Commons of Canada bill C-270 ''''''Stopping Internet Sexual Exploitation Act'''''' at parl.ca], first read to the Commons on Thursday 2022-04-28. According to [https://www.townandcountrytoday.com/local-news/mp-submits-private-members-bill-for-second-time-5346232 townandcountrytoday.com] the author of the bill introduced an identical bill C-302 on Thursday 2021-05-27, but that got killed off by oncoming federal elections | |||
---- | ---- | ||