RT - Journal Article T1 - A Multi Linear Discriminant Analysis Method Using a Subtraction Criteria JF - khu-mmr YR - 2017 JO - khu-mmr VO - 3 IS - 1 UR - http://mmr.khu.ac.ir/article-1-2647-en.html SP - 25 EP - 36 K1 - dimension reduction K1 - PCA K1 - LDA K1 - Multilinear K1 - MLDA AB - Linear dimension reduction has been used in different application such as image processing and pattern recognition. All these data folds the original data to vectors and project them to an small dimensions. But in some applications such we may face with data that are not vectors such as image data. Folding the multidimensional data to vectors causes curse of dimensionality and mixed the different feature together. For solving this problem in recent years some multilinear methods have been proposed. beside vector modeling that problem becomes finding the eigenvalues of matrices, in mullinear viewpoint the problem has not such analytical meaning and should be solved by optimization techniques. In this paper by reviewing a new multi linear DATER method, propose a fast method in computation of its solution. LA eng UL http://mmr.khu.ac.ir/article-1-2647-en.html M3 10.29252/mmr.3.1.25 ER -