DOIAbstract
AbstractThe feasibility of factorizing non-negative definite matrices with elements that are rational functions of several real variables and having real coefficients is discussed. Polynomial matrices are then considered briefly
AbstractThe feasibility of factorizing non-negative definite matrices with elements that are rational functions of several real variables and having real coefficients is discussed. Polynomial matrices are then considered briefly
We present a motivating example for matrix multiplication based on factoring a data matrix. Traditio...
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n x m matri...
Algorithms for factoring polynomials with arbitrarily large integer coefficients into their irreduci...
AbstractThe feasibility of factorizing non-negative definite matrices with elements that are rationa...
The problem of minimal factorization of rational bicausal matrices is considered, using polynomial m...
AbstractThe problem of minimal factorization of rational bicausal matrices is considered, using poly...
142 p. : ill. ; 30 cmThe factorization (root finding) of scalar polynomials is an important tool of ...
Tech ReportA new algorithm for factoring polynomial matrices, based on concept of elementary factors...
4International audienceIn the context of multivariate signal processing, factorizations involving so...
AbstractThe recently developed algorithm of Niederreiter for the factorization of polynomials over f...
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n x m matri...
© 2017 IEEE. Nonnegative matrix factorizationisakey toolinmany data analysis applications such as fe...
Cholesky factorization is a type of matrix factorization which is used for solving system of linear ...
AbstractWe develop a recursive algorithm for obtaining factorizations of the type R(λ)=R1(λ)R2(λ) wh...
Abstract. This paper discusses a relationship between the prime factorizability of a normal full ran...
We present a motivating example for matrix multiplication based on factoring a data matrix. Traditio...
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n x m matri...
Algorithms for factoring polynomials with arbitrarily large integer coefficients into their irreduci...
AbstractThe feasibility of factorizing non-negative definite matrices with elements that are rationa...
The problem of minimal factorization of rational bicausal matrices is considered, using polynomial m...
AbstractThe problem of minimal factorization of rational bicausal matrices is considered, using poly...
142 p. : ill. ; 30 cmThe factorization (root finding) of scalar polynomials is an important tool of ...
Tech ReportA new algorithm for factoring polynomial matrices, based on concept of elementary factors...
4International audienceIn the context of multivariate signal processing, factorizations involving so...
AbstractThe recently developed algorithm of Niederreiter for the factorization of polynomials over f...
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n x m matri...
© 2017 IEEE. Nonnegative matrix factorizationisakey toolinmany data analysis applications such as fe...
Cholesky factorization is a type of matrix factorization which is used for solving system of linear ...
AbstractWe develop a recursive algorithm for obtaining factorizations of the type R(λ)=R1(λ)R2(λ) wh...
Abstract. This paper discusses a relationship between the prime factorizability of a normal full ran...
We present a motivating example for matrix multiplication based on factoring a data matrix. Traditio...
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n x m matri...
Algorithms for factoring polynomials with arbitrarily large integer coefficients into their irreduci...
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