W is a tall and skinny real valued matrix, and diag(S) is a diagonal matrix consists of +1 or -1 on the diagonal. I want the eigen decomposition of A = W * diag(S) * W\' where single quote denotes tra
I am writing a code to find out which part of an image has been duplicated, so i need to find similar blocks in image. I need to use SVD (singular value decomposition) to find which blocks match toget
Assume you have an NxM matrix A of full rank, where M>N. If we denote the columns by C_i (with dimensions Nx1), then we can write the matrix as
Does 开发者_开发技巧anyone know how to perform svd operation on a sparse matrix in python? It seems that there is no such functionality provided in scipy.sparse.linalg.Sounds like sparsesvd is what yo
EDIT: I the size of the wordlist is 10-20 times bigger than I wrote down. I simply forgot a zero. EDIT2: I will have a look into SVDLIBC and also see how to reduce a matrix to its dense version so t
Does anyone know good scalable implementation of SVD on C# f开发者_开发知识库or very big matrix?ILNumerics.net seems to have SVD among other things.
Currently in an Android application that I\'m developing I\'m开发者_如何学编程 looping through the pixels of an image to blur it.This takes about 30 seconds on a 640x480 image.
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