The inverse of a non-negative matrix is usually not non-negative.
2.
In " Learning the parts of objects by non-negative matrix factorization"
3.
Non-negative matrix factorization has been proposed to extract the community-activity structure of temporal networks.
4.
This fact is used to convert a non-negative matrix into an equivalent matrix whose entries are all powers of 2.
5.
Evidence for this structure comes from principal components analysis and non-negative matrix factorization are used to " extract " synergies from muscle activation patterns.
6.
Plants then create even more negative matrix potentials within Germinating seeds have a very negative matrix potentials, creating water uptake in even somewhat dry soils and hydrates the dry seed.
7.
Plants then create even more negative matrix potentials within Germinating seeds have a very negative matrix potentials, creating water uptake in even somewhat dry soils and hydrates the dry seed.
8.
The exception is the non-negative monomial matrices : a non-negative matrix has non-negative inverse if and only if it is a ( non-negative ) monomial matrix.
9.
Independent component analysis is a technique that creates sparse representations in an automated fashion, and the semi-discrete and non-negative matrix approaches sacrifice accuracy of representation in order to reduce computational complexity.
10.
Using modular arithmetic, convert an integer matrix " A " into an equivalent non-negative matrix A'so that the permanent of A can be computed easily from the permanent of A', as follows:
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