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nearest neighbours classification
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this code is used to nearest neighbour classification of image using neural networks.N earest neighbour uses the value of pixel and approximate it to the nearest value and groups according to that.
raviraj505623 1 0
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codes_2Dskeleton is for generating shape skeletons
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The aim of the skeletonization is to extract a region-based shape feature representing the general form of an object. Skeletonization (i.e., skeleton extraction from a digital binary picture) provides region-based shape features. It is a common preprocessing operation in raster-to-vector conversion or in pattern recognition. There are three major skeletonization techniques: detecting ridges in distance map of the boundary points, calculating the Voronoi diagram generated by the boundary points, and the layer by layer erosion called thinning. In digital spaces, only an approximation to the "true skeleton" can be extracted. There are two requirements to be complied with: topological (to retain the topology of the original object), geometrical (forcing the "skeleton" being in the middle of the object and invariance under the most imp
raviraj505623 0 0
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Real-time tomography interface
4.0
The code is contained within the following directories: ./state_tomography ./state_tomography/private ./quantum_logic ./quantum_logic/measures ./basic_math ./util The function state_tomography.m is the top level tomography program, and the place you should start when looking through this code. Its function call looks like this:
raviraj505623 3 0
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