40765
Convex-train
1
Recognition of convex sets
The convex sets consist of a single convex region with pixels of value 255. Candidate convex images were constructed by taking the intersection of a number of half-planes whose location and orientation were chosen uniformly at random. The number of intersecting half-planes was also sampled randomly according to a geometric distribution with parameter 0.195. A candidate convex image was rejected if there were less than 19 pixels in the convex region.
Candidate non-convex images were constructed by taking the union of a random number of convex sets generated as above, but with the number of half-planes sampled from a geometric distribution with parameter 0.07 and with a minimum number of 10 pixels. The number of convex sets was sampled uniformly from 2 to 4. The candidate non-convex images were then tested by checking a convexity condition for every pair of pixels in the non-convex set. Those sets that failed the convexity test were added to the dataset.
The parameters for generating the convex and non-convex sets were balanced to ensure that the mean number of pixels of value 255 is the same in the two datasets.
#autoxgboost #autoweka
1
ARFF
2017-06-20T11:19:53
Public https://api.openml.org/data/v1/download/5797167/Convex-train.arff
https://openml1.win.tue.nl/datasets/0004/40765/dataset_40765.pq 5797167 artificialderivedorigin_unknown public https://openml1.win.tue.nl/datasets/0004/40765/dataset_40765.pq in_preparation
2018-10-30 00:46:39 635af2ae3d8359c700747f551c42eea1