User:Cristinac/Day2

Day four

Deconstructing Harry Guttorm Guttormsgaard Asger Jorn

metadata of information; data gallery; average colour of the image, timestamp, face recognition, average colour data, what could a photo gallery mean? Gaussian blur (many image treatments begin with) derivates

http://programmingcomputervision.com/

a gradient has a magnitude and a direction (like a vector)

Search By Image - Sebastian Schmieg

Control detection contours that are detected are not continuous, but they are fragments and there is an extra step that determines what kind of fragments got together and create an extra step

Volterra Kernel Training/Identification System

http://www.sciencedirect.com/science/article/pii/S0952197612002461 statistical, not logical model of the face behind the algorithm is a manual work that is done by people repeatedly every detail of the face is annotated labour conditions

Training data to feed the classifier : no image exists in isolation False positive : images that have been selected as containing a face when they don’t

https://en.wikipedia.org/wiki/Ghostwriter

cvdazzle.com - techniques to avoid face detection

the same algorithm can be fed with any kind of statistical data; ex: banana recognition sort by face

http://www.cise.ufl.edu/~arunava/papers/cvpr09.pdf

https://en.wikipedia.org/wiki/Volterra_series

CSV-no space for metadata, no authorship information https://okfn.org/

frictionless data http://centraldedados.pt/

adding “I think” at the end of every paragraph

iPython