I\'m working on a program that takes in several (<50) high dimension points in feature space (1000+ dimensions) and performing hierarchical clustering on them by recursively using standard k-cluste
I would like to know if there is a good way for indexing multidimensional objects (i.e. images). More precisely, I have a large collection of images on which I calculate n-dimensional feature vectors.
I am on a project where I am interested in the spacing & distribution of point objects in an microscope image.
I\'ve to create a dataset from some text files, writing them as vectors of features. Something like this:
Does anyone know of a (purely) matlab implementation of Haar feature extraction (the kind used in Viola&Jones object detection algorithm)?
开发者_运维问答Given the 2D contour of a shape in the form of lines and vertices, how can I Extract Information from that?
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