The multimedia recommendation algorithm based on probability graphical model

C Li, Y Li, C Wang, S Dong, H Gao, Q Zhao… - Multimedia tools and …, 2022 - Springer
In the multimedia big data, the demand for personalized multimedia recommendation
algorithm is increasing to ease the multimedia information overload. The multimedia …

A novel face recognition method based on one state of discrete Hidden Markov Model

HR Farhan, MH Al-Muifraje… - 2017 annual conference …, 2017 - ieeexplore.ieee.org
The trend for about twenty years, the research regarding the number of states in Hidden
Markov Model (HMM) was mainly aimed at increasing it in order to ensure the robustness of …

Using only two states of discrete HMM for high-speed face recognition

HR Farhan, MH Al-Muifraje… - 2016 Al-Sadeq …, 2016 - ieeexplore.ieee.org
This paper presents a simple and fast face recognition system based on two states of
discrete Hidden Markov Model (HMM). The minimization in the number of states leads to …

Face recognition system based on continuous one-state model

HR Farhan, MH Al-Muifraje, TR Saeed - AIP Conference Proceedings, 2019 - pubs.aip.org
Face recognition (FR) has received an important concern in our contemporary life,
especially in control and security applications. This work proposes a novel method for …

Upper half face recognition using hidden markov model and singular value decomposition coefficients

P Choudhary, A Tripathi, AK Singh… - Advances in Computational …, 2020 - Springer
Face recognition is the process of recognizing a special face from a set of different faces. A
human face is a very complex object/structure with varying features from childhood to old …

[PDF][PDF] Low-Complexity Face Recognition using a Multilevel DWT and Two States of Continuous HMM to recognize Noisy Images

HR Farhan, MH Al-Muifraje, TR Saeed - researchgate.net
Face recognition has become an important subject in modern life, especially in security and
surveillance applications. This work introduces a face recognition method, which is …