On best rank one approximation of tensors
نویسندگان
چکیده
منابع مشابه
On best rank one approximation of tensors
Today, compact and reduced data representations using low rank data approximation are common to represent high-dimensional data sets in many application areas as for example genomics, multimedia, quantum chemistry, social networks or visualization. In order to produce such low rank data representations, the input data is typically approximated by so-called alternating least squares (ALS) algori...
متن کاملTECHNISCHE UNIVERSITÄT BERLIN On best rank one approximation of tensors
In this paper we suggest a new algorithm for the computation of a best rank one approximation of tensors, called alternating singular value decomposition. This method is based on the computation of maximal singular values and the corresponding singular vectors of matrices. We also introduce a modification for this method and the alternating least squares method, which ensures that alternating i...
متن کاملOn orthogonal tensors and best rank-one approximation ratio
As is well known, the smallest possible ratio between the spectral norm and the Frobenius norm of an m× n matrix with m ≤ n is 1/ √ m and is (up to scalar scaling) attained only by matrices having pairwise orthonormal rows. In the present paper, the smallest possible ratio between spectral and Frobenius norms of n1×· · ·×nd tensors of order d, also called the best rank-one approximation ratio i...
متن کاملApproximation of High-Dimensional Rank One Tensors *
Many real world problems are high-dimensional in that their solution is a function which depends on many variables or parameters. This presents a computational challenge since traditional numerical techniques are built on model classes for functions based solely on smoothness. It is known that the approximation of smoothness classes of functions suffers from the so-called ‘curse of dimensionali...
متن کاملThe Number of Singular Vector Tuples and Uniqueness of Best Rank-One Approximation of Tensors
In this paper we discuss the notion of singular vector tuples of a complex valued d-mode tensor of dimension m1 × . . . × md. We show that a generic tensor has a finite number of singular vector tuples, viewed as points in the corresponding Segre product. We give the formula for the number of singular vector tuples. We show similar results for tensors with partial symmetry. We give analogous re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Numerical Linear Algebra with Applications
سال: 2013
ISSN: 1070-5325
DOI: 10.1002/nla.1878