Use of factorization in Sentences. 23 Examples
The examples include factorization at the start of sentence, factorization at the end of sentence and factorization in the middle of sentence
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factorization at the start of sentence
- Factorization of this equation by trial and error is not possible.
factorization at the end of sentence
- The safe of RSA algorithm based on difficulty in the factorization.
- This factorization is unique, known as prime decomposition (prime factorization).
- They could be solved speedily by means of the sparse technique based triangular factorization.
- Features of the index number of odd perfect number are obtained by utilizing number's standard factorization.
factorization in the middle of sentence
- We give a method of determining irreducible polynomials over a unique factorization domain.
- An attacker could generate a forged signature on the assumption when the factorization problem is solved.
- A novel method based on factorization and bundle adjustment asas its principle and implementation is presented.
- The matrix factorization and its modification is one of the most effective techniques in numerical linear algebra.
- A method of applying Non - negative Matrix factorization ( NMF ) group strategy for face recognition is put forward.
- The feasibility to apply the algorithm of non - negative matrix factorization on intrusion detection is demonstrated.
- Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.
- Meanwhile, by polyphase factorization, it was proved that the low - pass filter satisfies perfect reconstruction condition.
- Non - negative matrix factorization ( NMF ) has been proposed for multivariate data analysis, with non - negativity constraints.
- And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix factorization(NMF) is presented.
- The conservative full - potential equation is solved by a time - accurate approximate factorization algorithm and internal Newton iterations.
- A unitary matrix extension method of the corresponding vectors, obtained from multiple channel low-pass filters by polyphase factorization, is proposed.
- Absrtact: Non- negative matrix factorization(NMF)is a method of parts- based feature extraction, it has been already applied to face recognition successfully.
- Results A factorization discriminance of exponential distribution family was obtained, moreover good properties of exponential distribution family were established.
- It can avoid approximate factorization or block-bidiagonal matrix, and has obvious superiority in enhancing accuracy, lessening amount of calculation, improving stability.
- It is known by correlation with drilling data that the spectral factorization can describe the boundaries of strong reflection and weak reflection in different frequencies.
- When there is occlusion, it chose three of the images' sequence with factorization to get the structure. Then it can use this structure to do the validity check for outliers.
- If the transform matrix type is a half pixel matrix, then the method includes applying a factorization technique to decode the bit stream corresponding to the half pixel matrix.