Non-negative Matrix Factorization (NMF) is a part-based image representation method. It comes from the intuitive idea that entire face image can be constructed by combining several parts. In this paper, we propose a framework for face recognition by finding localized, part-based representations, denoted “Iterative weighted non-smooth non-negative matrix factorization” (IWNS-NMF). A new cost fun...

The case study is based on ISO 14001 and compares the validation with other certified industries. In view of the above, response has been collected to have further improvements through developed model which was prepared based on the factorization of various input and output variables which is linked to the clauses of ISO 14001. The developed model has represented almost all the clauses of ISO 1...

A high-temperature plasma sheath is generated on the surface of re-entry vehicle through conversion kinetic energy to thermal and chemical across a strong shock wave at hypersonic speed. Such condition results in forming blackout which significantly affects communication components. To analyze speed, an unconditionally stable system incorporated factorization-splitting (SIFS) algorithm proposed...

We propose the inclusive hadroproduction of a heavy-light dijet system, as new channel for investigation high-energy QCD. build up hybrid factorization that incorporates partial next-to-leading BFKL resummation inside standard collinear description observables. present detailed analysis different distributions: cross-section summed over azimuthal angles and differential in rapidity distribution...

In this paper we start an investigation to check the best we can do with SAT encodings for solving two important hard arithmetic problems, integer factorization and discrete logarithm. Given the current success of using SAT encodings for solving problems with linear arithmetic constraints, studying the suitability of SAT for solving non-linear arithmetic problems was a natural step. However, ou...