Working notes from the Scandinavian Institute for Computational Vandalism

Tag Archives: OCR

Convolutional Network, 1993

In 1988, Yann LeCun joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, New Jersey, United States, headed by Lawrence D. Jackel, where he developed a number of new machine learning methods, such as a biologically inspired model of image recognition called Convolutional Neural Networks, the “Optimal Brain Damage” regularization methods, and […]

They Live, or an image OCR for ideology

“The plot of They Live is deceptively simple. Roddy Piper’s character, a semi-homeless day laborer named Nada (Spanish for “nothing”) discovers a pair of sunglasses that allow him to identify the extraterrestrials who have infiltrated the Earth’s populace.” (Read more about the story plot on salon.com) In a fashion very similar to computer vision procedures, […]

Sehen wie ein Scanner

Culture has not only created epistemology, but indeed also signal-processing machines, which are then by definition detached from culture: they do not ‘count’ semantic aspects; they do not view images as icons; they do not perceive sound as music; and they read texts with the aesthetics of a scanner, by Optical Character Recognition. Wolfgang Ernst: […]

Black boxing conversion

[…] Bernhard Siegert: In a way, you can describe the business of cultural techniques as the opening up of black boxes. If you think of concepts or even symbols as black boxes, when you open them up, what comes out are cultural techniques. One of the things I have been studying recently is the very […]

Text-ures 3

A man goes to see his optician and asks for a pair of reading glasses. The optician: I already gave you a new pair last week. The man: I have already read them.

Text-ures 2

Lapsus by the Google Books OCR program. The visual approximations of the algorithm for the word arms and anus are similar enough to create some confusion. Mentioned by Nanna Bonde Thylstrup in her talk The politics of archival assemblages in the seminar Culture@Work

Text-ures