Working notes from the Scandinavian Institute for Computational Vandalism

Category Archives: Algorithms

The cloudy days of machine learning

Once upon a time, the US Army wanted to use neural networks to automatically detect camouflaged enemy tanks. The researchers trained a neural net on 50 photos of camouflaged tanks in trees, and 50 photos of trees without tanks. Using standard techniques for supervised learning, the researchers trained the neural network to a weighting that […]

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 […]

Geoff Cox, from Speaking Code to algorithms

Geoff Cox discussing the ecology of algorithms at the occasion of the launch of the Cqrrelations website. “What would algorithms say if they could speak? We could say the same of data of course. If it was allowed to speak what would it say about itself? It probably wouldn’t say it is raw and unmediated. […]

Algorithms before computers

“The only way you could formulate a complete rule (in premodern sensibility): you had to foresee the exceptions, it is both specific and supple. The habit doesn’t simply enforce the rule, it embodies it, just like this spearbearer statue embodies the canon of male beauty. More than that the habit’s discretion is not supplementary to […]

Comparative Ways of Seeing

Your browser does not support the video tag. In the frame of Ways of Machine Seeing, a series of experiments in collaboration wit Geoff Cox on the the four episodes of the BBC documentary series Ways of Seeing. In this probe, the same algorithm runs an object detection script using two different training sets. For […]

You were asked to draw an angel

Playing with Quickdraw

Operationalizing Aby Warburg’s Atlas of images

Franco Moretti presents collaborative project (with Leonardo Impett) on computational approaches to Aby Warburg’s image atlas. Formulating pathos, faces are irrelevant. Clarity is not option, it’s a constraint. A strange encounter of qualitative and quantitative …

Accessorize to a crime

A team of researchers from Pittsburgh’s Carnegie Mellon University have created sets of eyeglasses that can prevent wearers from being identified by facial recognition systems, or even fool the technology into identifying them as completely unrelated individuals. In their paper, Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition, presented at the […]

Correspondences

Binford, O.T. & Nevatia, R (1977) Description and Recognition of Curved Objects, Artificial Intelligence 8(1):77-98.

Green Mamba

Tensorflow, an open source library for Machine Learning developed by Google, comes with a demo program that labels images. The output of the program contains the labels (or class names) and their scores. The score represents the probability of the image to belong to a certain class. green mamba (score = 0.43074) vine snake (score […]