نتایج جستجو برای: projection attribute functionmethod
تعداد نتایج: 132942 فیلتر نتایج به سال:
Nuisance attribute projection (NAP) has become a common method for compensation of channel effects, session variation, speaker variation, and general mismatch in speaker recognition. NAP uses an orthogonal projection to remove a nuisance subspace from a larger expansion space that contains the speaker information. Training the NAP subspace is based on optimizing pairwise distances to reduce int...
an enterprise resource planning (erp) software is needed for industries and companies that want to develop in future. many of the manufactures and companies have a problem with erp software selection. an inappropriate selection process can affect both the implementation and the performance of the company significantly. although several models are proposed to solve this problem many of them did n...
This paper addresses the task of nuisance reduction in twowire speaker recognition applications. Besides channel mismatch, two-wire conversations are contaminated by extraneous speakers which represent an additional source of noise in the supervector domain. It is shown that two-wire nuisance manifests itself as undesirable directions in the interspeaker subspace. For this purpose, we derive tw...
With respect to multiple attribute decision making (MADM) problems in which the attribute values take the form of hesitant fuzzy elements, the traditional grey relational projection (GRP) method is extended to solve multiple attribute decision making problems under hesitant fuzzy environment. Based on the hesitant fuzzy decision matrix provided by decision makers, all feasible alternatives are ...
We study a two-dimensional integrable generalization of the Kaup-Kupershmidt equation, which arises in various problems in mathematical physics. Exact solutions are obtained using the Lie symmetry method in conjunction with the extended tanhmethod and the extended Jacobi elliptic functionmethod. In addition to exact solutions we also present conservation laws which are derived using the multipl...
In the paper Factor Analysis (FA) and Nuisance Attribute Projection (NAP) are reviewed, analyzed and compared. Since nowadays FA become a part of most state-of-the-art recognition systems (used e.g. in the concept of i-vectors or PLDA models) it is of relevance to examine different insights into the problem. NAP was chosen as a counterpart to FA as an advanced PCA like method often utilized in ...
With respect to multi-attribute group decision-making (MAGDM) problems, where attribute values take the form of interval grey trapezoid fuzzy linguistic variables (IGTFLVs) and the weights (including expert and attribute weight) are unknown, improved grey relational MAGDM methods are proposed. First, the concept of IGTFLV, the operational rules, the distance between IGTFLVs, and the projection ...
Most existing rough set-based feature selection algorithms suffer from intensive computation of either discernibility functions or positive regions to find attribute reduct. In this paper, we develop a new computation model based on relative attribute dependency defined as the proportion of the projection of the decision table on a condition attributes subset to the projection of the decision t...
With respect to different confidence on evaluation result from different decision-makers to the hybrid multi-attribute with risk, an approach to group decisionmaking based on prospect theory and projection theory is proposed. Firstly, a tuple is established to record the evaluation result and the hybrid decision information. Then the element of the tuple is changed into a single triangular fuzz...
Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the prop...
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