Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Franco Woolfe"'
Publikováno v:
IEEE Transactions on Image Processing. 20:1085-1093
This paper describes a new, physically interpretable, fully automatic algorithm for removal of tissue autofluorescence (AF) from fluorescence microscopy images, by non-negative matrix factorization. Measurement of signal intensities from the concentr
Publikováno v:
Applied and Computational Harmonic Analysis. 25(3):335-366
We introduce a randomized procedure that, given an m×n matrix A and a positive integer k, approximates A with a matrix Z of rank k. The algorithm relies on applying a structured l×m random matrix R to each column of A, where l is an integer near to
We describe two recently proposed randomized algorithms for the construction of low-rank approximations to matrices, and demonstrate their application (inter alia) to the evaluation of the singular value decompositions of numerically low-rank matrice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1057cbe43dfdcbc21ae02f34e4fdf887
https://europepmc.org/articles/PMC2154402/
https://europepmc.org/articles/PMC2154402/
Publikováno v:
Journal of neurotrauma. 24(2)
Following spinal cord injury (SCI), descending axons that carry motor commands from the brain to the spinal cord are injured or transected, producing chronic motor dysfunction and paralysis. Reconnection of these axons is a major prerequisite for res
Autor:
Franco Woolfe, Andrew Fitzgibbon
Publikováno v:
Computer Vision – ECCV 2006 ISBN: 9783540338345
ECCV (2)
ECCV (2)
We address the problem of recognition of natural motions such as water, smoke and wind-blown vegetation. Such dynamic scenes exhibit characteristic stochastic motions, and we ask whether the scene contents can be recognized using motion information a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a8e6d5538fa48b99947615e78908740
https://doi.org/10.1007/11744047_42
https://doi.org/10.1007/11744047_42
Publikováno v:
Journal of Neurotrauma; Feb2007, Vol. 24 Issue 2, p421-432, 12p
Publikováno v:
Applied and Computational Harmonic Analysis. (2):203-226
We introduce a new class of fast algorithms for the application to arbitrary vectors of certain special function transforms. The scheme is applicable to a number of transforms, including the Fourier–Bessel transform, the non-equispaced Fourier tran