The human face holds a privileged position in multi-disciplinary research as it conveys much information—demographical attributes (age, race, gender, ethnicity), social signals, emotion expression, and so forth. Studies have shown that due to the distribution of ethnicity/race training datasets, biometric algorithms suffer from “cross race effect”—their performance is better on subjects closer ...

How to extend standard support vector machines to solve multi-class classification problem and yield the outputs in the frame of Dempster-Shafer theory is useful. The multi-class probability support vector machine is proposed, firstly. The Dempster-Shafer theory based multi-class support vector machine is designed by constructing probability support vector machines for binary classification usi...

Machine learning, a branch of artificial Intelligence targets to make predictions more accurate. Machine Learning methods have been widely used. The notion of affinity set which is one of the machine learning methods can be defined as the distance or closeness between two objects. Unlike the fuzzy Set and Rough Set, the affinity can deal with third objects and deals with time dimension. In addi...

Abstract We present an algorithm for supervised learning using tensor networks, employing a step of data pre-processing by coarse-graining through sequence wavelet transformations. These transformations are represented as set network layers identical to those in multi-scale entanglement renormalization ansatz network. perform and regression tasks model based on matrix product states (MPSs) acti...