Cumulative vector / characteristic combining
Suppose that if there is a vector function of length n, then with cumulative binning of k riots, the length of the feature vector now becomes nxk. How exactly can this be done? Any help?
I first came across this concept of cumulative binning in Section VII on page 8: Exploring Human Activity and the Possibilities of RGB-D Objects Video
I have contacted the authors of the article about this, but have not yet received a response from them.
When can such a technique be useful? Are there other uses for this technique?
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How to combine a function into a matrix, just
M = numpy.vstack ((f1, f2, ..., fk))
As for the need for cumulative binning. This is because they have ten classes (neck, torso, left shoulder, left elbow, left palm, right shoulder, right elbow, and right palm) So each bit corresponds to one class Hope this helps
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